[{"date_created":"2026-03-30T12:22:47Z","year":"2025","main_file_link":[{"url":"https://doi.org/10.1021/acs.nanolett.4c05353","open_access":"1"}],"_id":"21521","intvolume":"        25","language":[{"iso":"eng"}],"keyword":["Scintillator","Heterostructure","Thin film","X-ray imaging","X-ray detector"],"day":"19","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"scopus_import":"1","issue":"9","publication_identifier":{"issn":["1530-6984"],"eissn":["1530-6992"]},"article_processing_charge":"No","extern":"1","abstract":[{"lang":"eng","text":"Fast-emitting scintillators are essential for advanced diagnostic techniques, yet many suffer from low radiation attenuation. This trade-off is particularly pronounced in polymer scintillators, which, despite their fast emission, exhibit low density and low atomic numbers, limiting the radiation attenuation factor, resulting in low detection efficiency. Here, we overcome this limitation by creating a heterostructure scintillator of alternating nanometric layers, combining fast light-emitting polymer scintillator layers and transparent stopping layers with a high radiation attenuation factor. The nanolayer thicknesses are tuned to optimize the penetration depth of recoil electrons in active emissive layers, maximizing the conversion of X-rays to visible light. This design increases light output by up to 1.5 times and enhances imaging resolution by a factor of 2 compared to homogeneous polymer scintillators due to the ability to use thinner samples. These results demonstrate the potential of heterostructure scintillators as next-generation detector materials, overcoming the limitations of homogeneous scintillators."}],"type":"journal_article","ddc":["530"],"page":"3422-3429","OA_type":"hybrid","article_type":"letter_note","external_id":{"pmid":["39969821"]},"title":"Heterostructure nanoscintillator for matching radiation absorbing layers with fast light-emitting layers","date_published":"2025-02-19T00:00:00Z","status":"public","doi":"10.1021/acs.nanolett.4c05353","pmid":1,"oa_version":"Published Version","OA_place":"publisher","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"American Chemical Society","citation":{"chicago":"Be’er, Orr, Avner Shultzman, Rotem Strassberg, Georgy Dosovitskiy, Noam Veber, Roman Schuetz, Charles Roques-Carmes, Ido Kaminer, and Yehonadav Bekenstein. “Heterostructure Nanoscintillator for Matching Radiation Absorbing Layers with Fast Light-Emitting Layers.” <i>Nano Letters</i>. American Chemical Society, 2025. <a href=\"https://doi.org/10.1021/acs.nanolett.4c05353\">https://doi.org/10.1021/acs.nanolett.4c05353</a>.","short":"O. Be’er, A. Shultzman, R. Strassberg, G. Dosovitskiy, N. Veber, R. Schuetz, C. Roques-Carmes, I. Kaminer, Y. Bekenstein, Nano Letters 25 (2025) 3422–3429.","mla":"Be’er, Orr, et al. “Heterostructure Nanoscintillator for Matching Radiation Absorbing Layers with Fast Light-Emitting Layers.” <i>Nano Letters</i>, vol. 25, no. 9, American Chemical Society, 2025, pp. 3422–29, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.4c05353\">10.1021/acs.nanolett.4c05353</a>.","ama":"Be’er O, Shultzman A, Strassberg R, et al. Heterostructure nanoscintillator for matching radiation absorbing layers with fast light-emitting layers. <i>Nano Letters</i>. 2025;25(9):3422-3429. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.4c05353\">10.1021/acs.nanolett.4c05353</a>","ieee":"O. Be’er <i>et al.</i>, “Heterostructure nanoscintillator for matching radiation absorbing layers with fast light-emitting layers,” <i>Nano Letters</i>, vol. 25, no. 9. American Chemical Society, pp. 3422–3429, 2025.","apa":"Be’er, O., Shultzman, A., Strassberg, R., Dosovitskiy, G., Veber, N., Schuetz, R., … Bekenstein, Y. (2025). Heterostructure nanoscintillator for matching radiation absorbing layers with fast light-emitting layers. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.4c05353\">https://doi.org/10.1021/acs.nanolett.4c05353</a>","ista":"Be’er O, Shultzman A, Strassberg R, Dosovitskiy G, Veber N, Schuetz R, Roques-Carmes C, Kaminer I, Bekenstein Y. 2025. Heterostructure nanoscintillator for matching radiation absorbing layers with fast light-emitting layers. Nano Letters. 25(9), 3422–3429."},"author":[{"first_name":"Orr","full_name":"Be’er, Orr","last_name":"Be’er"},{"last_name":"Shultzman","first_name":"Avner","full_name":"Shultzman, Avner"},{"last_name":"Strassberg","full_name":"Strassberg, Rotem","first_name":"Rotem"},{"last_name":"Dosovitskiy","full_name":"Dosovitskiy, Georgy","first_name":"Georgy"},{"full_name":"Veber, Noam","first_name":"Noam","last_name":"Veber"},{"full_name":"Schuetz, Roman","first_name":"Roman","last_name":"Schuetz"},{"id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","last_name":"Roques-Carmes","first_name":"Charles","full_name":"Roques-Carmes, Charles"},{"last_name":"Kaminer","first_name":"Ido","full_name":"Kaminer, Ido"},{"last_name":"Bekenstein","first_name":"Yehonadav","full_name":"Bekenstein, Yehonadav"}],"oa":1,"publication_status":"published","quality_controlled":"1","month":"02","publication":"Nano Letters","date_updated":"2026-04-27T10:05:22Z","volume":25},{"status":"public","external_id":{"arxiv":["2503.20946"]},"date_published":"2025-08-26T00:00:00Z","title":"Nanophotonic thermal management in X-ray tubes","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"American Chemical Society","citation":{"ama":"Pajovic S, Roques-Carmes C, Choi S, et al. Nanophotonic thermal management in X-ray tubes. <i>ACS Nano</i>. 2025;19(35):31363-31370. doi:<a href=\"https://doi.org/10.1021/acsnano.5c05186\">10.1021/acsnano.5c05186</a>","ieee":"S. Pajovic <i>et al.</i>, “Nanophotonic thermal management in X-ray tubes,” <i>ACS Nano</i>, vol. 19, no. 35. American Chemical Society, pp. 31363–31370, 2025.","apa":"Pajovic, S., Roques-Carmes, C., Choi, S., Kooi, S. E., Gupta, R., Zalis, M. E., … Soljačić, M. (2025). Nanophotonic thermal management in X-ray tubes. <i>ACS Nano</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acsnano.5c05186\">https://doi.org/10.1021/acsnano.5c05186</a>","ista":"Pajovic S, Roques-Carmes C, Choi S, Kooi SE, Gupta R, Zalis ME, Čelanović I, Soljačić M. 2025. Nanophotonic thermal management in X-ray tubes. ACS Nano. 19(35), 31363–31370.","chicago":"Pajovic, Simo, Charles Roques-Carmes, Seou Choi, Steven E. Kooi, Rajiv Gupta, Michael E. Zalis, Ivan Čelanović, and Marin Soljačić. “Nanophotonic Thermal Management in X-Ray Tubes.” <i>ACS Nano</i>. American Chemical Society, 2025. <a href=\"https://doi.org/10.1021/acsnano.5c05186\">https://doi.org/10.1021/acsnano.5c05186</a>.","short":"S. Pajovic, C. Roques-Carmes, S. Choi, S.E. Kooi, R. Gupta, M.E. Zalis, I. Čelanović, M. Soljačić, ACS Nano 19 (2025) 31363–31370.","mla":"Pajovic, Simo, et al. “Nanophotonic Thermal Management in X-Ray Tubes.” <i>ACS Nano</i>, vol. 19, no. 35, American Chemical Society, 2025, pp. 31363–70, doi:<a href=\"https://doi.org/10.1021/acsnano.5c05186\">10.1021/acsnano.5c05186</a>."},"author":[{"last_name":"Pajovic","full_name":"Pajovic, Simo","first_name":"Simo"},{"first_name":"Charles","full_name":"Roques-Carmes, Charles","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","last_name":"Roques-Carmes"},{"last_name":"Choi","full_name":"Choi, Seou","first_name":"Seou"},{"last_name":"Kooi","full_name":"Kooi, Steven E.","first_name":"Steven E."},{"last_name":"Gupta","first_name":"Rajiv","full_name":"Gupta, Rajiv"},{"last_name":"Zalis","first_name":"Michael E.","full_name":"Zalis, Michael E."},{"last_name":"Čelanović","first_name":"Ivan","full_name":"Čelanović, Ivan"},{"last_name":"Soljačić","full_name":"Soljačić, Marin","first_name":"Marin"}],"doi":"10.1021/acsnano.5c05186","oa_version":"Preprint","OA_place":"repository","abstract":[{"text":"In X-ray tubes, more than 99% of the kilowatts of power supplied to generate X-rays via bremsstrahlung is lost as heat in the anode. Therefore, thermal management is a critical barrier to the development of more powerful X-ray tubes with higher brightness and spatial coherence, which are needed to translate imaging modalities such as phase-contrast imaging to the clinic. In rotating anode X-ray tubes, the most common design, thermal radiation is a bottleneck that prevents efficient cooling of the anode─the hottest part of the device by far. We predict that nanophotonic patterning of the anode of an X-ray tube enhances heat dissipation via thermal radiation, enabling it to operate at higher powers without an increase in temperature. The focal spot size, which is related to the spatial coherence of generated X-rays, can also be reduced at a constant temperature. A major advantage of our “nanophotonic thermal management” approach is that in principle, it allows complete control over the spectrum and direction of thermal radiation, which can lead to optimal thermal routing and improved performance.","lang":"eng"}],"type":"journal_article","page":"31363-31370","OA_type":"green","article_type":"original","publication":"ACS Nano","arxiv":1,"quality_controlled":"1","month":"08","volume":19,"date_updated":"2026-04-27T08:56:39Z","publication_status":"published","oa":1,"_id":"21524","language":[{"iso":"eng"}],"intvolume":"        19","day":"26","keyword":["X-ray tubes","thermal management","nanophotonics","thermal radiation","X-ray imaging","high-temperature"],"year":"2025","date_created":"2026-03-30T12:22:47Z","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2503.20946","open_access":"1"}],"extern":"1","article_processing_charge":"No","publication_identifier":{"issn":["1936-0851"],"eissn":["1936-086X"]},"scopus_import":"1","issue":"35"},{"publication_status":"published","date_updated":"2026-04-27T07:12:34Z","volume":12,"quality_controlled":"1","month":"02","publication":"ACS Photonics","OA_type":"closed access","page":"1722-1733","article_type":"original","type":"journal_article","abstract":[{"lang":"eng","text":"Metasurfaces, ultrathin structures composed of subwavelength optical elements, have revolutionized light manipulation by enabling precise control over electromagnetic waves’ amplitude, phase, polarization, and spectral properties. Concurrently, computational imaging leverages algorithms to reconstruct images from optically processed signals, overcoming the limitations of traditional imaging systems. This Perspective explores the synergistic integration of metaoptics and computational imaging, “metaoptic computational imaging”, which combines the physical wavefront shaping ability of metasurfaces with advanced computational algorithms to enhance imaging performance beyond conventional limits. We discuss how metaoptic computational imaging addresses the inherent limitations of single-layer metasurfaces in achieving multifunctionality without compromising efficiency. By treating metasurfaces as physical preconditioners and codesigning them with reconstruction algorithms through end-to-end (inverse) design, it is possible to jointly optimize the optical hardware and computational software. Advanced applications and new frontiers in the field enabled by metaoptic computational imaging are highlighted, including phase imaging and quantum state measurement."}],"doi":"10.1021/acsphotonics.4c02266","oa_version":"None","citation":{"short":"C. Roques-Carmes, K. Wang, Y. Yang, A. Majumdar, Z. Lin, ACS Photonics 12 (2025) 1722–1733.","mla":"Roques-Carmes, Charles, et al. “Metaoptic Computational Imaging.” <i>ACS Photonics</i>, vol. 12, no. 4, American Chemical Society, 2025, pp. 1722–33, doi:<a href=\"https://doi.org/10.1021/acsphotonics.4c02266\">10.1021/acsphotonics.4c02266</a>.","chicago":"Roques-Carmes, Charles, Kai Wang, Yuanmu Yang, Arka Majumdar, and Zin Lin. “Metaoptic Computational Imaging.” <i>ACS Photonics</i>. American Chemical Society, 2025. <a href=\"https://doi.org/10.1021/acsphotonics.4c02266\">https://doi.org/10.1021/acsphotonics.4c02266</a>.","apa":"Roques-Carmes, C., Wang, K., Yang, Y., Majumdar, A., &#38; Lin, Z. (2025). Metaoptic computational imaging. <i>ACS Photonics</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acsphotonics.4c02266\">https://doi.org/10.1021/acsphotonics.4c02266</a>","ista":"Roques-Carmes C, Wang K, Yang Y, Majumdar A, Lin Z. 2025. Metaoptic computational imaging. ACS Photonics. 12(4), 1722–1733.","ieee":"C. Roques-Carmes, K. Wang, Y. Yang, A. Majumdar, and Z. Lin, “Metaoptic computational imaging,” <i>ACS Photonics</i>, vol. 12, no. 4. American Chemical Society, pp. 1722–1733, 2025.","ama":"Roques-Carmes C, Wang K, Yang Y, Majumdar A, Lin Z. Metaoptic computational imaging. <i>ACS Photonics</i>. 2025;12(4):1722-1733. doi:<a href=\"https://doi.org/10.1021/acsphotonics.4c02266\">10.1021/acsphotonics.4c02266</a>"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"American Chemical Society","author":[{"full_name":"Roques-Carmes, Charles","first_name":"Charles","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","last_name":"Roques-Carmes"},{"last_name":"Wang","first_name":"Kai","full_name":"Wang, Kai"},{"last_name":"Yang","first_name":"Yuanmu","full_name":"Yang, Yuanmu"},{"full_name":"Majumdar, Arka","first_name":"Arka","last_name":"Majumdar"},{"last_name":"Lin","first_name":"Zin","full_name":"Lin, Zin"}],"date_published":"2025-02-13T00:00:00Z","title":"Metaoptic computational imaging","status":"public","scopus_import":"1","issue":"4","publication_identifier":{"eissn":["2330-4022"]},"article_processing_charge":"No","extern":"1","year":"2025","date_created":"2026-03-30T12:22:47Z","intvolume":"        12","_id":"21530","language":[{"iso":"eng"}],"day":"13","keyword":["nanophotonics","metasurfaces","computational imaging","inverse design"]},{"publication_status":"published","oa":1,"publication":"ACS Photonics","quality_controlled":"1","month":"04","arxiv":1,"volume":11,"date_updated":"2026-04-27T09:03:21Z","ddc":["530"],"abstract":[{"text":"We present a framework for the end-to-end optimization of metasurface imaging systems that reconstruct targets using compressed sensing, a technique for solving underdetermined imaging problems when the target object exhibits sparsity (e.g., the object can be described by a small number of nonzero values, but the positions of these values are unknown). We nest an iterative, unapproximated compressed sensing reconstruction algorithm into our end-to-end optimization pipeline, resulting in an interpretable, data-efficient method for maximally leveraging metaoptics to exploit object sparsity. We apply our framework to super-resolution imaging and high-resolution depth imaging with a phase-change material. In both situations, our end-to-end framework effectively optimizes metasurface structures for compressed sensing recovery, automatically balancing a number of complicated design considerations to select an imaging measurement matrix from a complex, physically constrained manifold with millions of dimensions. The optimized metasurface imaging systems are robust to noise, significantly improving over random scattering surfaces and approaching the ideal compressed sensing performance of a Gaussian matrix, showing how a physical metasurface system can demonstrably approach the mathematical limits of compressed sensing.","lang":"eng"}],"type":"journal_article","article_type":"original","OA_type":"green","page":"2077-2087","status":"public","date_published":"2024-04-23T00:00:00Z","title":"End-to-end optimization of metasurfaces for imaging with compressed sensing","external_id":{"arxiv":["2201.12348"]},"author":[{"first_name":"Gaurav","full_name":"Arya, Gaurav","last_name":"Arya"},{"full_name":"Li, William F.","first_name":"William F.","last_name":"Li"},{"id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","last_name":"Roques-Carmes","full_name":"Roques-Carmes, Charles","first_name":"Charles"},{"first_name":"Marin","full_name":"Soljačić, Marin","last_name":"Soljačić"},{"last_name":"Johnson","full_name":"Johnson, Steven G.","first_name":"Steven G."},{"full_name":"Lin, Zin","first_name":"Zin","last_name":"Lin"}],"citation":{"chicago":"Arya, Gaurav, William F. Li, Charles Roques-Carmes, Marin Soljačić, Steven G. Johnson, and Zin Lin. “End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing.” <i>ACS Photonics</i>. American Chemical Society, 2024. <a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">https://doi.org/10.1021/acsphotonics.4c00259</a>.","short":"G. Arya, W.F. Li, C. Roques-Carmes, M. Soljačić, S.G. Johnson, Z. Lin, ACS Photonics 11 (2024) 2077–2087.","mla":"Arya, Gaurav, et al. “End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing.” <i>ACS Photonics</i>, vol. 11, no. 5, American Chemical Society, 2024, pp. 2077–87, doi:<a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">10.1021/acsphotonics.4c00259</a>.","ama":"Arya G, Li WF, Roques-Carmes C, Soljačić M, Johnson SG, Lin Z. End-to-end optimization of metasurfaces for imaging with compressed sensing. <i>ACS Photonics</i>. 2024;11(5):2077-2087. doi:<a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">10.1021/acsphotonics.4c00259</a>","apa":"Arya, G., Li, W. F., Roques-Carmes, C., Soljačić, M., Johnson, S. G., &#38; Lin, Z. (2024). End-to-end optimization of metasurfaces for imaging with compressed sensing. <i>ACS Photonics</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">https://doi.org/10.1021/acsphotonics.4c00259</a>","ista":"Arya G, Li WF, Roques-Carmes C, Soljačić M, Johnson SG, Lin Z. 2024. End-to-end optimization of metasurfaces for imaging with compressed sensing. ACS Photonics. 11(5), 2077–2087.","ieee":"G. Arya, W. F. Li, C. Roques-Carmes, M. Soljačić, S. G. Johnson, and Z. Lin, “End-to-end optimization of metasurfaces for imaging with compressed sensing,” <i>ACS Photonics</i>, vol. 11, no. 5. American Chemical Society, pp. 2077–2087, 2024."},"publisher":"American Chemical Society","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","OA_place":"repository","oa_version":"Preprint","doi":"10.1021/acsphotonics.4c00259","publication_identifier":{"eissn":["2330-4022"]},"issue":"5","scopus_import":"1","extern":"1","article_processing_charge":"No","date_created":"2026-03-30T12:22:47Z","year":"2024","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2201.12348","open_access":"1"}],"day":"23","keyword":["end-to-end","optimization","metasurface","imaging","compressed sensing"],"language":[{"iso":"eng"}],"_id":"21528","intvolume":"        11"},{"date_updated":"2026-04-27T09:23:04Z","month":"04","quality_controlled":"1","arxiv":1,"publication":"ACS Photonics","oa":1,"publication_status":"published","oa_version":"Preprint","OA_place":"repository","doi":"10.1021/acsphotonics.4c00259","author":[{"last_name":"Arya","full_name":"Arya, Gaurav","first_name":"Gaurav"},{"first_name":"William F.","full_name":"Li, William F.","last_name":"Li"},{"full_name":"Roques-Carmes, Charles","first_name":"Charles","last_name":"Roques-Carmes","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82"},{"full_name":"Soljačić, Marin","first_name":"Marin","last_name":"Soljačić"},{"first_name":"Steven G.","full_name":"Johnson, Steven G.","last_name":"Johnson"},{"full_name":"Lin, Zin","first_name":"Zin","last_name":"Lin"}],"publisher":"American Chemical Society","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","citation":{"ama":"Arya G, Li WF, Roques-Carmes C, Soljačić M, Johnson SG, Lin Z. End-to-end optimization of metasurfaces for imaging with compressed sensing. <i>ACS Photonics</i>. 2024. doi:<a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">10.1021/acsphotonics.4c00259</a>","ieee":"G. Arya, W. F. Li, C. Roques-Carmes, M. Soljačić, S. G. Johnson, and Z. Lin, “End-to-end optimization of metasurfaces for imaging with compressed sensing,” <i>ACS Photonics</i>. American Chemical Society, 2024.","apa":"Arya, G., Li, W. F., Roques-Carmes, C., Soljačić, M., Johnson, S. G., &#38; Lin, Z. (2024). End-to-end optimization of metasurfaces for imaging with compressed sensing. <i>ACS Photonics</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">https://doi.org/10.1021/acsphotonics.4c00259</a>","ista":"Arya G, Li WF, Roques-Carmes C, Soljačić M, Johnson SG, Lin Z. 2024. End-to-end optimization of metasurfaces for imaging with compressed sensing. ACS Photonics.","chicago":"Arya, Gaurav, William F. Li, Charles Roques-Carmes, Marin Soljačić, Steven G. Johnson, and Zin Lin. “End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing.” <i>ACS Photonics</i>. American Chemical Society, 2024. <a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">https://doi.org/10.1021/acsphotonics.4c00259</a>.","mla":"Arya, Gaurav, et al. “End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing.” <i>ACS Photonics</i>, American Chemical Society, 2024, doi:<a href=\"https://doi.org/10.1021/acsphotonics.4c00259\">10.1021/acsphotonics.4c00259</a>.","short":"G. Arya, W.F. Li, C. Roques-Carmes, M. Soljačić, S.G. Johnson, Z. Lin, ACS Photonics (2024)."},"date_published":"2024-04-23T00:00:00Z","title":"End-to-end optimization of metasurfaces for imaging with compressed sensing","external_id":{"arxiv":["2201.12348"]},"status":"public","article_type":"original","OA_type":"green","ddc":["530"],"abstract":[{"text":"We present a framework for the end-to-end optimization of metasurface imaging systems that reconstruct targets using compressed sensing, a technique for solving underdetermined imaging problems when the target object exhibits sparsity (i.e. the object can be described by a small number of non-zero values, but the positions of these values are unknown). We nest an iterative, unapproximated compressed sensing reconstruction algorithm into our end-to-end optimization pipeline, resulting in an interpretable, data-efficient method for maximally leveraging metaoptics to exploit object sparsity. We apply our framework to super-resolution imaging and high-resolution depth imaging with a phase-change material. In both situations, our end-to-end framework computationally discovers optimal metasurface structures for compressed sensing recovery, automatically balancing a number of complicated design considerations to select an imaging measurement matrix from a complex, physically constrained manifold with millions ofdimensions. The optimized metasurface imaging systems are robust to noise, significantly improving over random scattering surfaces and approaching the ideal compressed sensing performance of a Gaussian matrix, showing how a physical metasurface system can demonstrably approach the mathematical limits of compressed sensing.","lang":"eng"}],"type":"journal_article","article_processing_charge":"No","extern":"1","scopus_import":"1","publication_identifier":{"eissn":["2330-4022"]},"day":"23","keyword":["end-to-end","optimization","metasurface","imaging","compressed sensing"],"_id":"21672","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2201.12348","open_access":"1"}],"year":"2024","date_created":"2026-04-09T09:10:41Z"},{"issue":"5","scopus_import":"1","publication_identifier":{"issn":["2050-5698"],"eissn":["2050-5701"]},"article_processing_charge":"No","isi":1,"year":"2022","date_created":"2022-07-25T10:04:58Z","day":"01","keyword":["Radiology","Nuclear Medicine and imaging","Instrumentation","Structural Biology"],"language":[{"iso":"eng"}],"_id":"11648","intvolume":"        71","file":[{"relation":"main_file","file_size":7812696,"date_created":"2023-02-03T08:34:48Z","access_level":"open_access","content_type":"application/pdf","checksum":"23b51c163636bf9313f7f0818312e67e","file_name":"2022_Microscopy_Gerle.pdf","date_updated":"2023-02-03T08:34:48Z","creator":"dernst","success":1,"file_id":"12498"}],"tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"acknowledgement":"Cyclic Innovation for Clinical Empowerment (JP17pc0101020 from Japan Agency for Medical Research and Development (AMED) to K.N. and G.K.); Platform Project for Supporting Drug Discovery and Life Science Research (Basis for Supporting Innovative Drug Discovery and Life Science Research) from AMED (JP20am0101117 to K.N., JP16K07266 to Atsunori Oshima and C.G., JP22ama121001j0001 to Masaki Yamamoto, G.K., T.K. and C.G.); a JSPS KAHKENHI\r\ngrant (20K06514 to J.K.) and a Grant-in-aid for JSPS fellows (20J00162 to A.N.).\r\nWe are grateful for initiation and scientific support from Matthias Rogner, Marc M. Nowaczyk, Anna Frank and ̈Yuko Misumi for the PSI monomer project and also would like to thank Hideki Shigematsu for critical reading of the manuscript. And we are indebted to the two anonymous reviewers who helped us to improve our manuscript.","has_accepted_license":"1","file_date_updated":"2023-02-03T08:34:48Z","oa":1,"publication_status":"published","date_updated":"2023-08-03T12:13:37Z","volume":71,"month":"10","quality_controlled":"1","publication":"Microscopy","article_type":"original","page":"249-261","department":[{"_id":"LeSa"}],"ddc":["570"],"type":"journal_article","abstract":[{"text":"Progress in structural membrane biology has been significantly accelerated by the ongoing 'Resolution Revolution' in cryo electron microscopy (cryo-EM). In particular, structure determination by single particle analysis has evolved into the most powerful method for atomic model building of multisubunit membrane protein complexes. This has created an ever increasing demand in cryo-EM machine time, which to satisfy is in need of new and affordable cryo electron microscopes. Here, we review our experience in using the JEOL CRYO ARM 200 prototype for the structure determination by single particle analysis of three different multisubunit membrane complexes: the Thermus thermophilus V-type ATPase VO complex, the Thermosynechococcus elongatus photosystem I monomer and the flagellar motor LP-ring from Salmonella enterica.","lang":"eng"}],"oa_version":"Published Version","pmid":1,"doi":"10.1093/jmicro/dfac037","author":[{"last_name":"Gerle","first_name":"Christoph","full_name":"Gerle, Christoph"},{"last_name":"Kishikawa","full_name":"Kishikawa, Jun-ichi","first_name":"Jun-ichi"},{"last_name":"Yamaguchi","full_name":"Yamaguchi, Tomoko","first_name":"Tomoko"},{"first_name":"Atsuko","full_name":"Nakanishi, Atsuko","last_name":"Nakanishi"},{"id":"d25163e5-8d53-11eb-a251-e6dd8ea1b8ef","last_name":"Çoruh","orcid":"0000-0002-3219-2022","first_name":"Mehmet Orkun","full_name":"Çoruh, Mehmet Orkun"},{"last_name":"Makino","full_name":"Makino, Fumiaki","first_name":"Fumiaki"},{"first_name":"Tomoko","full_name":"Miyata, Tomoko","last_name":"Miyata"},{"last_name":"Kawamoto","full_name":"Kawamoto, Akihiro","first_name":"Akihiro"},{"last_name":"Yokoyama","full_name":"Yokoyama, Ken","first_name":"Ken"},{"full_name":"Namba, Keiichi","first_name":"Keiichi","last_name":"Namba"},{"last_name":"Kurisu","full_name":"Kurisu, Genji","first_name":"Genji"},{"first_name":"Takayuki","full_name":"Kato, Takayuki","last_name":"Kato"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","citation":{"apa":"Gerle, C., Kishikawa, J., Yamaguchi, T., Nakanishi, A., Çoruh, M. O., Makino, F., … Kato, T. (2022). Structures of multisubunit membrane complexes with the CRYO ARM 200. <i>Microscopy</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/jmicro/dfac037\">https://doi.org/10.1093/jmicro/dfac037</a>","ista":"Gerle C, Kishikawa J, Yamaguchi T, Nakanishi A, Çoruh MO, Makino F, Miyata T, Kawamoto A, Yokoyama K, Namba K, Kurisu G, Kato T. 2022. Structures of multisubunit membrane complexes with the CRYO ARM 200. Microscopy. 71(5), 249–261.","ieee":"C. Gerle <i>et al.</i>, “Structures of multisubunit membrane complexes with the CRYO ARM 200,” <i>Microscopy</i>, vol. 71, no. 5. Oxford University Press, pp. 249–261, 2022.","ama":"Gerle C, Kishikawa J, Yamaguchi T, et al. Structures of multisubunit membrane complexes with the CRYO ARM 200. <i>Microscopy</i>. 2022;71(5):249-261. doi:<a href=\"https://doi.org/10.1093/jmicro/dfac037\">10.1093/jmicro/dfac037</a>","short":"C. Gerle, J. Kishikawa, T. Yamaguchi, A. Nakanishi, M.O. Çoruh, F. Makino, T. Miyata, A. Kawamoto, K. Yokoyama, K. Namba, G. Kurisu, T. Kato, Microscopy 71 (2022) 249–261.","mla":"Gerle, Christoph, et al. “Structures of Multisubunit Membrane Complexes with the CRYO ARM 200.” <i>Microscopy</i>, vol. 71, no. 5, Oxford University Press, 2022, pp. 249–61, doi:<a href=\"https://doi.org/10.1093/jmicro/dfac037\">10.1093/jmicro/dfac037</a>.","chicago":"Gerle, Christoph, Jun-ichi Kishikawa, Tomoko Yamaguchi, Atsuko Nakanishi, Mehmet Orkun Çoruh, Fumiaki Makino, Tomoko Miyata, et al. “Structures of Multisubunit Membrane Complexes with the CRYO ARM 200.” <i>Microscopy</i>. Oxford University Press, 2022. <a href=\"https://doi.org/10.1093/jmicro/dfac037\">https://doi.org/10.1093/jmicro/dfac037</a>."},"publisher":"Oxford University Press","date_published":"2022-10-01T00:00:00Z","title":"Structures of multisubunit membrane complexes with the CRYO ARM 200","external_id":{"pmid":["35861182"],"isi":["000837950900001"]},"status":"public"},{"publication_status":"published","file_date_updated":"2022-01-03T13:43:01Z","oa":1,"acknowledgement":"The authors acknowledge the financial assistance provided by the University of Huddersfield.","has_accepted_license":"1","publication":"Micromachines","quality_controlled":"1","month":"01","volume":13,"date_updated":"2023-08-09T10:16:10Z","department":[{"_id":"KiMo"}],"ddc":["620"],"abstract":[{"text":"Electrically tunable lenses (ETLs) are those with the ability to alter their optical power in response to an electric signal. This feature allows such systems to not only image the areas of interest but also obtain spatial depth perception (depth of field, DOF). The aim of the present study was to develop an ETL-based imaging system for quantitative surface analysis. Firstly, the system was calibrated to achieve high depth resolution, warranting the accurate measurement of the depth and to account for and correct any influences from external factors on the ETL. This was completed using the Tenengrad operator which effectively identified the plane of best focus as demonstrated by the linear relationship between the control current applied to the ETL and the height at which the optical system focuses. The system was then employed to measure amplitude, spatial, hybrid, and volume surface texture parameters of a model material (pharmaceutical dosage form) which were validated against the parameters obtained using a previously validated surface texture analysis technique, optical profilometry. There were no statistically significant differences between the surface texture parameters measured by the techniques, highlighting the potential application of ETL-based imaging systems as an easily adaptable and low-cost alternative surface texture analysis technique to conventional microscopy techniques","lang":"eng"}],"type":"journal_article","article_type":"original","status":"public","article_number":"17","date_published":"2022-01-01T00:00:00Z","title":"Electrically tunable lens (ETL) - based variable focus imaging system for parametric surface texture analysis of materials","external_id":{"isi":["000758547200001"]},"author":[{"last_name":"Nirwan","first_name":"Jorabar Singh","full_name":"Nirwan, Jorabar Singh"},{"last_name":"Lou","first_name":"Shan","full_name":"Lou, Shan"},{"last_name":"Hussain","first_name":"Saqib","full_name":"Hussain, Saqib"},{"id":"32c21954-2022-11eb-9d5f-af9f93c24e71","last_name":"Nauman","orcid":"0000-0002-2111-4846","first_name":"Muhammad","full_name":"Nauman, Muhammad"},{"last_name":"Hussain","full_name":"Hussain, Tariq","first_name":"Tariq"},{"first_name":"Barbara R.","full_name":"Conway, Barbara R.","last_name":"Conway"},{"full_name":"Ghori, Muhammad Usman","first_name":"Muhammad Usman","last_name":"Ghori"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publisher":"MDPI","citation":{"chicago":"Nirwan, Jorabar Singh, Shan Lou, Saqib Hussain, Muhammad Nauman, Tariq Hussain, Barbara R. Conway, and Muhammad Usman Ghori. “Electrically Tunable Lens (ETL) - Based Variable Focus Imaging System for Parametric Surface Texture Analysis of Materials.” <i>Micromachines</i>. MDPI, 2022. <a href=\"https://doi.org/10.3390/mi13010017\">https://doi.org/10.3390/mi13010017</a>.","short":"J.S. Nirwan, S. Lou, S. Hussain, M. Nauman, T. Hussain, B.R. Conway, M.U. Ghori, Micromachines 13 (2022).","mla":"Nirwan, Jorabar Singh, et al. “Electrically Tunable Lens (ETL) - Based Variable Focus Imaging System for Parametric Surface Texture Analysis of Materials.” <i>Micromachines</i>, vol. 13, no. 1, 17, MDPI, 2022, doi:<a href=\"https://doi.org/10.3390/mi13010017\">10.3390/mi13010017</a>.","ama":"Nirwan JS, Lou S, Hussain S, et al. Electrically tunable lens (ETL) - based variable focus imaging system for parametric surface texture analysis of materials. <i>Micromachines</i>. 2022;13(1). doi:<a href=\"https://doi.org/10.3390/mi13010017\">10.3390/mi13010017</a>","apa":"Nirwan, J. S., Lou, S., Hussain, S., Nauman, M., Hussain, T., Conway, B. R., &#38; Ghori, M. U. (2022). Electrically tunable lens (ETL) - based variable focus imaging system for parametric surface texture analysis of materials. <i>Micromachines</i>. MDPI. <a href=\"https://doi.org/10.3390/mi13010017\">https://doi.org/10.3390/mi13010017</a>","ista":"Nirwan JS, Lou S, Hussain S, Nauman M, Hussain T, Conway BR, Ghori MU. 2022. Electrically tunable lens (ETL) - based variable focus imaging system for parametric surface texture analysis of materials. Micromachines. 13(1), 17.","ieee":"J. S. Nirwan <i>et al.</i>, “Electrically tunable lens (ETL) - based variable focus imaging system for parametric surface texture analysis of materials,” <i>Micromachines</i>, vol. 13, no. 1. MDPI, 2022."},"oa_version":"Published Version","doi":"10.3390/mi13010017","publication_identifier":{"eissn":["2072-666X"]},"issue":"1","scopus_import":"1","article_processing_charge":"Yes","date_created":"2022-01-02T23:01:33Z","year":"2022","isi":1,"tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"file":[{"access_level":"open_access","content_type":"application/pdf","checksum":"5d062cae3f1acb251cacb21021724c4e","relation":"main_file","file_size":5370675,"date_created":"2022-01-03T13:43:01Z","date_updated":"2022-01-03T13:43:01Z","creator":"alisjak","success":1,"file_id":"10601","file_name":"2021_Micromachines_Singh.pdf"}],"keyword":["surface texture","electrically tunable lens","materials","hypromellose","surface topography","surface roughness","pharmaceutical tablet","variable focus imaging"],"day":"01","intvolume":"        13","_id":"10584","language":[{"iso":"eng"}]},{"type":"journal_article","abstract":[{"text":"Rest-frame ultraviolet (UV) emission lines probe electron densities, gas-phase abundances, metallicities, and ionization parameters of the emitting star-forming galaxies and their environments. The strongest main UV emission line, Lyα, has been instrumental in advancing the general knowledge of galaxy formation in the early universe. However, observing Lyα emission becomes increasingly challenging at z ≳ 6 when the neutral hydrogen fraction of the circumgalactic and intergalactic media increases. Secondary weaker UV emission lines provide important alternative methods for studying galaxy properties at high redshift. We present a large sample of rest-frame UV emission line sources at intermediate redshift for calibrating and exploring the connection between secondary UV lines and the emitting galaxies’ physical properties and their Lyα emission. The sample of 2052 emission line sources with 1.5 < z < 6.4 was collected from integral field data from the MUSE-Wide and MUSE-Deep surveys taken as part of Guaranteed Time Observations. The objects were selected through untargeted source detection (i.e., no preselection of sources as in dedicated spectroscopic campaigns) in the three-dimensional MUSE data cubes. We searched optimally extracted one-dimensional spectra of the full sample for UV emission features via emission line template matching, resulting in a sample of more than 100 rest-frame UV emission line detections. We show that the detection efficiency of (non-Lyα) UV emission lines increases with survey depth, and that the emission line strength of He IIλ1640 Å, [O III] λ1661 + O III] λ1666, and [Si III] λ1883 + Si III] λ1892 correlate with the strength of [C III] λ1907 + C III] λ1909. The rest-frame equivalent width (EW0) of [C III] λ1907 + C III] λ1909 is found to be roughly 0.22 ± 0.18 of EW0(Lyα). We measured the velocity offsets of resonant emission lines with respect to systemic tracers. For C IVλ1548 + C IVλ1551 we find that ΔvC IV ≲ 250 km s−1, whereas ΔvLyα falls in the range of 250−500 km s−1 which is in agreement with previous results from the literature. The electron density ne measured from [Si III] λ1883 + Si III] λ1892 and [C III] λ1907 + C III] λ1909 line flux ratios is generally < 105 cm−3 and the gas-phase abundance is below solar at 12 + log10(O/H)≈8. Lastly, we used “PhotoIonization Model Probability Density Functions” to infer physical parameters of the full sample and individual systems based on photoionization model parameter grids and observational constraints from our UV emission line searches. This reveals that the UV line emitters generally have ionization parameter log10(U) ≈ −2.5 and metal mass fractions that scatter around Z ≈ 10−2, that is Z ≈ 0.66 Z⊙. Value-added catalogs of the full sample of MUSE objects studied in this work and a collection of UV line emitters from the literature are provided with this paper.","lang":"eng"}],"article_type":"original","status":"public","external_id":{"arxiv":["2108.01713"]},"article_number":"A80","title":"Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 < z < 6.4","date_published":"2021-10-15T00:00:00Z","citation":{"short":"K.B. Schmidt, J. Kerutt, L. Wisotzki, T. Urrutia, A. Feltre, M.V. Maseda, T. Nanayakkara, R. Bacon, L.A. Boogaard, S. Conseil, T. Contini, E.C. Herenz, W. Kollatschny, M. Krumpe, F. Leclercq, G. Mahler, J.J. Matthee, V. Mauerhofer, J. Richard, J. Schaye, Astronomy &#38; Astrophysics 654 (2021).","mla":"Schmidt, K. B., et al. “Recovery and Analysis of Rest-Frame UV Emission Lines in 2052 Galaxies Observed with MUSE at 1.5 &#60; z &#60; 6.4.” <i>Astronomy &#38; Astrophysics</i>, vol. 654, A80, EDP Sciences, 2021, doi:<a href=\"https://doi.org/10.1051/0004-6361/202140876\">10.1051/0004-6361/202140876</a>.","chicago":"Schmidt, K. B., J. Kerutt, L. Wisotzki, T. Urrutia, A. Feltre, M. V. Maseda, T. Nanayakkara, et al. “Recovery and Analysis of Rest-Frame UV Emission Lines in 2052 Galaxies Observed with MUSE at 1.5 &#60; z &#60; 6.4.” <i>Astronomy &#38; Astrophysics</i>. EDP Sciences, 2021. <a href=\"https://doi.org/10.1051/0004-6361/202140876\">https://doi.org/10.1051/0004-6361/202140876</a>.","ista":"Schmidt KB, Kerutt J, Wisotzki L, Urrutia T, Feltre A, Maseda MV, Nanayakkara T, Bacon R, Boogaard LA, Conseil S, Contini T, Herenz EC, Kollatschny W, Krumpe M, Leclercq F, Mahler G, Matthee JJ, Mauerhofer V, Richard J, Schaye J. 2021. Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 &#60; z &#60; 6.4. Astronomy &#38; Astrophysics. 654, A80.","apa":"Schmidt, K. B., Kerutt, J., Wisotzki, L., Urrutia, T., Feltre, A., Maseda, M. V., … Schaye, J. (2021). Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 &#60; z &#60; 6.4. <i>Astronomy &#38; Astrophysics</i>. EDP Sciences. <a href=\"https://doi.org/10.1051/0004-6361/202140876\">https://doi.org/10.1051/0004-6361/202140876</a>","ieee":"K. B. Schmidt <i>et al.</i>, “Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 &#60; z &#60; 6.4,” <i>Astronomy &#38; Astrophysics</i>, vol. 654. EDP Sciences, 2021.","ama":"Schmidt KB, Kerutt J, Wisotzki L, et al. Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 &#60; z &#60; 6.4. <i>Astronomy &#38; Astrophysics</i>. 2021;654. doi:<a href=\"https://doi.org/10.1051/0004-6361/202140876\">10.1051/0004-6361/202140876</a>"},"publisher":"EDP Sciences","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Schmidt","first_name":"K. B.","full_name":"Schmidt, K. B."},{"full_name":"Kerutt, J.","first_name":"J.","last_name":"Kerutt"},{"last_name":"Wisotzki","full_name":"Wisotzki, L.","first_name":"L."},{"full_name":"Urrutia, T.","first_name":"T.","last_name":"Urrutia"},{"last_name":"Feltre","first_name":"A.","full_name":"Feltre, A."},{"last_name":"Maseda","first_name":"M. V.","full_name":"Maseda, M. V."},{"first_name":"T.","full_name":"Nanayakkara, T.","last_name":"Nanayakkara"},{"last_name":"Bacon","full_name":"Bacon, R.","first_name":"R."},{"last_name":"Boogaard","full_name":"Boogaard, L. A.","first_name":"L. A."},{"last_name":"Conseil","full_name":"Conseil, S.","first_name":"S."},{"full_name":"Contini, T.","first_name":"T.","last_name":"Contini"},{"last_name":"Herenz","first_name":"E. C.","full_name":"Herenz, E. C."},{"first_name":"W.","full_name":"Kollatschny, W.","last_name":"Kollatschny"},{"last_name":"Krumpe","first_name":"M.","full_name":"Krumpe, M."},{"last_name":"Leclercq","first_name":"F.","full_name":"Leclercq, F."},{"full_name":"Mahler, G.","first_name":"G.","last_name":"Mahler"},{"last_name":"Matthee","id":"7439a258-f3c0-11ec-9501-9df22fe06720","orcid":"0000-0003-2871-127X","full_name":"Matthee, Jorryt J","first_name":"Jorryt J"},{"full_name":"Mauerhofer, V.","first_name":"V.","last_name":"Mauerhofer"},{"last_name":"Richard","first_name":"J.","full_name":"Richard, J."},{"last_name":"Schaye","full_name":"Schaye, J.","first_name":"J."}],"doi":"10.1051/0004-6361/202140876","oa_version":"Published Version","publication_status":"published","oa":1,"acknowledgement":"We would like to thank Charlotte Mason for useful discussions and for providing the data for the curves shown in Fig. 13 and Dawn Erb for providing the observational data for the comparison sample studied by Steidel et al. (2014), also shown in Fig. 13. This work has been supported by the BMBF grant 05A14BAC and we acknowledge support by the Competitive Fund of the Leibniz Association through grant SAW-2015-AIP-2. AF acknowledges the support from grant PRIN MIUR2017-20173ML3WW_001. JS acknowledges the support from Vici grant 639.043.409 from the Dutch Research Council (NWO). GM received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No MARACAS – DLV-896778. This paper is based on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere under ESO programmes 094.A-0289(B), 095.A-0010(A), 096.A-0045(A), 096.A-0045(B), 094.A-0205, 095.A-0240, 096.A-0090, 097.A-0160, and 098.A-0017. This paper also makes use of observations made with the NASA/ESA Hubble Space Telescope obtained at STScI. This research made use of the following programs and open-source packages for Python and we are thankful to their developers: DS9 (Joye & Mandel 2003), Astropy (Astropy Collaboration 2013, 2018), APLpy (Robitaille & Bressert 2012), iPython (Pérez & Granger 2007), numpy (van der Walt et al. 2011), matplotlib (Hunter 2007), and SciPy (Jones et al. 2001).","publication":"Astronomy & Astrophysics","arxiv":1,"month":"10","quality_controlled":"1","volume":654,"date_updated":"2022-07-19T09:34:36Z","year":"2021","date_created":"2022-07-06T08:49:03Z","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2108.01713"}],"_id":"11498","intvolume":"       654","language":[{"iso":"eng"}],"keyword":["Space and Planetary Science","Astronomy and Astrophysics","ultraviolet: galaxies / galaxies: high-redshift / galaxies: ISM / ISM: lines and bands / methods: observational / techniques: imaging spectroscopy"],"day":"15","publication_identifier":{"eissn":["1432-0746"],"issn":["0004-6361"]},"scopus_import":"1","extern":"1","article_processing_charge":"No"},{"publication_status":"published","oa":1,"acknowledgement":"The authors thank Daichi Kashino, for providing access to unpublished zCOSMOS Deep data, and Jakob S. den Brok for sharing code used in den Brok et al. (2020). GP and SC acknowledge the support of the Swiss National Science Foundation [grant PP00P2163824]. SM is supported by the Experienced Researchers Fellowship, Alexander von Humboldt-Stiftung, Germany. This work is based on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere under the MUSE GTO programme. The major analysis and production of figures in this work was conducted in Python, using standard libraries which include NumPy (Harris et al. 2020), SciPy (Virtanen et al. 2020), Matplotlib (Hunter 2007) and the interactive command shell IPython (Pérez & Granger 2007). This research also made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013), and Photutils, an Astropy package for detection and photometry of astronomica sources (Bradley et al. 2019). The python interface dustmaps (Green 2018) was used to query galactic extinction maps. topcat, a graphical tool for manipulating tabular data, was also utilized in this analysis (Taylor 2005). This research has made use of the \"Aladin sky atlas\" developed at CDS, Strasbourg Observatory, France (Bonnarel et al. 2000).","publication":"Monthly Notices of the Royal Astronomical Society","arxiv":1,"quality_controlled":"1","month":"03","volume":502,"date_updated":"2022-08-18T10:56:28Z","abstract":[{"lang":"eng","text":"We present the results from a MUSE survey of twelve z ≃ 3.15 quasars, which were selected to be much fainter (20 < iSDSS < 23) than in previous studies of giant Ly α nebulae around the brightest quasars (16.6 < iAB < 18.7). We detect H I Ly α nebulae around 100 per cent of our target quasars, with emission extending to scales of at least 60 physical kpc, and up to 190 pkpc. We explore correlations between properties of the nebulae and their host quasars, with the goal of connecting variations in the properties of the illuminating QSO to the response in nebular emission. We show that the surface brightness profiles of the nebulae are similar to those of nebulae around bright quasars, but with a lower normalization. Our targeted quasars are on average 3.7 mag (≃30 times) fainter in UV continuum than our bright reference sample, and yet the nebulae around them are only 4.3 times fainter in mean Ly α surface brightness, measured between 20 and 50 pkpc. We find significant correlations between the surface brightness of the nebula and the luminosity of the quasar in both UV continuum and Ly α. The latter can be interpreted as evidence for a substantial contribution from unresolved inner parts of the nebulae to the narrow components seen in the Ly α lines of some of our faint quasars, possibly from the inner circumgalactic medium or from the host galaxy’s interstellar medium."}],"type":"journal_article","page":"494-509","article_type":"original","status":"public","external_id":{"arxiv":["2010.12589"]},"title":"Revealing the impact of quasar luminosity on giant Lyα nebulae","date_published":"2021-03-01T00:00:00Z","publisher":"Oxford University Press","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ista":"Mackenzie R, Pezzulli G, Cantalupo S, Marino RA, Lilly S, Muzahid S, Matthee JJ, Schaye J, Wisotzki L. 2021. Revealing the impact of quasar luminosity on giant Lyα nebulae. Monthly Notices of the Royal Astronomical Society. 502(1), 494–509.","apa":"Mackenzie, R., Pezzulli, G., Cantalupo, S., Marino, R. A., Lilly, S., Muzahid, S., … Wisotzki, L. (2021). Revealing the impact of quasar luminosity on giant Lyα nebulae. <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/mnras/staa3277\">https://doi.org/10.1093/mnras/staa3277</a>","ieee":"R. Mackenzie <i>et al.</i>, “Revealing the impact of quasar luminosity on giant Lyα nebulae,” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 502, no. 1. Oxford University Press, pp. 494–509, 2021.","ama":"Mackenzie R, Pezzulli G, Cantalupo S, et al. Revealing the impact of quasar luminosity on giant Lyα nebulae. <i>Monthly Notices of the Royal Astronomical Society</i>. 2021;502(1):494-509. doi:<a href=\"https://doi.org/10.1093/mnras/staa3277\">10.1093/mnras/staa3277</a>","mla":"Mackenzie, Ruari, et al. “Revealing the Impact of Quasar Luminosity on Giant Lyα Nebulae.” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 502, no. 1, Oxford University Press, 2021, pp. 494–509, doi:<a href=\"https://doi.org/10.1093/mnras/staa3277\">10.1093/mnras/staa3277</a>.","short":"R. Mackenzie, G. Pezzulli, S. Cantalupo, R.A. Marino, S. Lilly, S. Muzahid, J.J. Matthee, J. Schaye, L. Wisotzki, Monthly Notices of the Royal Astronomical Society 502 (2021) 494–509.","chicago":"Mackenzie, Ruari, Gabriele Pezzulli, Sebastiano Cantalupo, Raffaella A Marino, Simon Lilly, Sowgat Muzahid, Jorryt J Matthee, Joop Schaye, and Lutz Wisotzki. “Revealing the Impact of Quasar Luminosity on Giant Lyα Nebulae.” <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford University Press, 2021. <a href=\"https://doi.org/10.1093/mnras/staa3277\">https://doi.org/10.1093/mnras/staa3277</a>."},"author":[{"last_name":"Mackenzie","first_name":"Ruari","full_name":"Mackenzie, Ruari"},{"full_name":"Pezzulli, Gabriele","first_name":"Gabriele","last_name":"Pezzulli"},{"first_name":"Sebastiano","full_name":"Cantalupo, Sebastiano","last_name":"Cantalupo"},{"last_name":"Marino","first_name":"Raffaella A","full_name":"Marino, Raffaella A"},{"full_name":"Lilly, Simon","first_name":"Simon","last_name":"Lilly"},{"full_name":"Muzahid, Sowgat","first_name":"Sowgat","last_name":"Muzahid"},{"id":"7439a258-f3c0-11ec-9501-9df22fe06720","last_name":"Matthee","orcid":"0000-0003-2871-127X","first_name":"Jorryt J","full_name":"Matthee, Jorryt J"},{"full_name":"Schaye, Joop","first_name":"Joop","last_name":"Schaye"},{"first_name":"Lutz","full_name":"Wisotzki, Lutz","last_name":"Wisotzki"}],"doi":"10.1093/mnras/staa3277","oa_version":"Preprint","publication_identifier":{"issn":["0035-8711"],"eissn":["1365-2966"]},"scopus_import":"1","issue":"1","extern":"1","article_processing_charge":"No","year":"2021","date_created":"2022-07-07T10:11:15Z","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2010.12589"}],"_id":"11526","intvolume":"       502","language":[{"iso":"eng"}],"keyword":["Space and Planetary Science","Astronomy and Astrophysics","techniques: imaging spectroscopy","intergalactic medium","quasars: emission lines","quasars: general"],"day":"01"},{"page":"1177-1187","OA_type":"gold","article_type":"original","type":"journal_article","abstract":[{"lang":"eng","text":"By codesigning a metaoptical front end in conjunction with an image‐processing back end, we demonstrate noise sensitivity and compactness substantially superior to either an optics‐only or a computation‐only approach, illustrated by two examples: subwavelength imaging and reconstruction of the full polarization coherence matrices of multiple light sources. Our end‐to‐end inverse designs couple the solution of the full Maxwell equations—exploiting all aspects of wave physics arising in subwavelength scatterers—with inverse‐scattering algorithms in a single large‐scale optimization involving  degrees of freedom. The resulting structures scatter light in a way that is radically different from either a conventional lens or a random microstructure, and suppress the noise sensitivity of the inverse‐scattering computation by several orders of magnitude. Incorporating the full wave physics is especially crucial for detecting spectral and polarization information that is discarded by geometric optics and scalar diffraction theory."}],"ddc":["530"],"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","citation":{"ieee":"Z. Lin, C. Roques-Carmes, R. Pestourie, M. Soljačić, A. Majumdar, and S. G. Johnson, “End‐to‐end nanophotonic inverse design for imaging and polarimetry,” <i>Nanophotonics</i>, vol. 10, no. 3. Wiley, pp. 1177–1187, 2020.","ista":"Lin Z, Roques-Carmes C, Pestourie R, Soljačić M, Majumdar A, Johnson SG. 2020. End‐to‐end nanophotonic inverse design for imaging and polarimetry. Nanophotonics. 10(3), 1177–1187.","apa":"Lin, Z., Roques-Carmes, C., Pestourie, R., Soljačić, M., Majumdar, A., &#38; Johnson, S. G. (2020). End‐to‐end nanophotonic inverse design for imaging and polarimetry. <i>Nanophotonics</i>. Wiley. <a href=\"https://doi.org/10.1515/nanoph-2020-0579\">https://doi.org/10.1515/nanoph-2020-0579</a>","ama":"Lin Z, Roques-Carmes C, Pestourie R, Soljačić M, Majumdar A, Johnson SG. End‐to‐end nanophotonic inverse design for imaging and polarimetry. <i>Nanophotonics</i>. 2020;10(3):1177-1187. doi:<a href=\"https://doi.org/10.1515/nanoph-2020-0579\">10.1515/nanoph-2020-0579</a>","short":"Z. Lin, C. Roques-Carmes, R. Pestourie, M. Soljačić, A. Majumdar, S.G. Johnson, Nanophotonics 10 (2020) 1177–1187.","mla":"Lin, Zin, et al. “End‐to‐end Nanophotonic Inverse Design for Imaging and Polarimetry.” <i>Nanophotonics</i>, vol. 10, no. 3, Wiley, 2020, pp. 1177–87, doi:<a href=\"https://doi.org/10.1515/nanoph-2020-0579\">10.1515/nanoph-2020-0579</a>.","chicago":"Lin, Zin, Charles Roques-Carmes, Raphaël Pestourie, Marin Soljačić, Arka Majumdar, and Steven G. Johnson. “End‐to‐end Nanophotonic Inverse Design for Imaging and Polarimetry.” <i>Nanophotonics</i>. Wiley, 2020. <a href=\"https://doi.org/10.1515/nanoph-2020-0579\">https://doi.org/10.1515/nanoph-2020-0579</a>."},"publisher":"Wiley","author":[{"last_name":"Lin","full_name":"Lin, Zin","first_name":"Zin"},{"last_name":"Roques-Carmes","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","first_name":"Charles","full_name":"Roques-Carmes, Charles"},{"first_name":"Raphaël","full_name":"Pestourie, Raphaël","last_name":"Pestourie"},{"last_name":"Soljačić","full_name":"Soljačić, Marin","first_name":"Marin"},{"full_name":"Majumdar, Arka","first_name":"Arka","last_name":"Majumdar"},{"last_name":"Johnson","first_name":"Steven G.","full_name":"Johnson, Steven G."}],"doi":"10.1515/nanoph-2020-0579","OA_place":"publisher","oa_version":"Published Version","status":"public","external_id":{"arxiv":["2006.09145"]},"date_published":"2020-12-23T00:00:00Z","title":"End‐to‐end nanophotonic inverse design for imaging and polarimetry","publication_status":"published","oa":1,"volume":10,"date_updated":"2026-04-27T09:29:25Z","publication":"Nanophotonics","DOAJ_listed":"1","arxiv":1,"month":"12","quality_controlled":"1","main_file_link":[{"url":"https://doi.org/10.1515/nanoph-2020-0579","open_access":"1"}],"year":"2020","date_created":"2026-03-30T12:22:48Z","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"_id":"21642","intvolume":"        10","language":[{"iso":"eng"}],"keyword":["computational imaging","end-to-end photonic inverse design","inverse scattering","meta-optics","polarimetry"],"day":"23","publication_identifier":{"issn":["2192-8614"],"eissn":["2192-8614"]},"scopus_import":"1","issue":"3","extern":"1","article_processing_charge":"No"},{"date_published":"2018-11-07T00:00:00Z","title":"Fluorescence lifetime analysis of FLIM X16 TCSPC data","status":"public","doi":"10.15479/AT:ISTA:0113","_id":"5588","oa_version":"Published Version","keyword":["FLIM","FRET","fluorescence lifetime imaging"],"day":"07","citation":{"short":"R. Hauschild, (2018).","mla":"Hauschild, Robert. <i>Fluorescence Lifetime Analysis of FLIM X16 TCSPC Data</i>. Institute of Science and Technology Austria, 2018, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:0113\">10.15479/AT:ISTA:0113</a>.","chicago":"Hauschild, Robert. “Fluorescence Lifetime Analysis of FLIM X16 TCSPC Data.” Institute of Science and Technology Austria, 2018. <a href=\"https://doi.org/10.15479/AT:ISTA:0113\">https://doi.org/10.15479/AT:ISTA:0113</a>.","ieee":"R. Hauschild, “Fluorescence lifetime analysis of FLIM X16 TCSPC data.” Institute of Science and Technology Austria, 2018.","apa":"Hauschild, R. (2018). Fluorescence lifetime analysis of FLIM X16 TCSPC data. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:0113\">https://doi.org/10.15479/AT:ISTA:0113</a>","ista":"Hauschild R. 2018. Fluorescence lifetime analysis of FLIM X16 TCSPC data, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:0113\">10.15479/AT:ISTA:0113</a>.","ama":"Hauschild R. Fluorescence lifetime analysis of FLIM X16 TCSPC data. 2018. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:0113\">10.15479/AT:ISTA:0113</a>"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Institute of Science and Technology Austria","author":[{"orcid":"0000-0001-9843-3522","last_name":"Hauschild","id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","first_name":"Robert","full_name":"Hauschild, Robert"}],"tmp":{"short":"CC0 (1.0)","name":"Creative Commons Public Domain Dedication (CC0 1.0)","image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode"},"file":[{"content_type":"application/x-zip-compressed","checksum":"a4e160054c9114600624cf89a925fd7d","access_level":"open_access","date_created":"2019-04-11T18:15:01Z","file_size":47866557,"relation":"main_file","creator":"rhauschild","file_id":"6296","date_updated":"2020-07-14T12:47:08Z","file_name":"IST-2018-113-v1+1_FLIMX16TCSPCLifeTimeFit.zip"}],"abstract":[{"lang":"eng","text":"Script to perform a simple exponential lifetime fit of a ROI on time stacks acquired with a FLIM X16 TCSPC detector (+example data)"}],"type":"research_data","year":"2018","date_created":"2018-12-12T12:31:41Z","department":[{"_id":"Bio"}],"ddc":["570"],"datarep_id":"113","month":"11","article_processing_charge":"No","date_updated":"2024-02-21T13:44:21Z","oa":1,"file_date_updated":"2020-07-14T12:47:08Z","license":"https://creativecommons.org/publicdomain/zero/1.0/","has_accepted_license":"1"},{"main_file_link":[{"url":"https://www.researchgate.net/publication/224241106_Ilastik_Interactive_learning_and_segmentation_toolkit","open_access":"1"}],"conference":{"start_date":"2011-03-30","name":"ISBI: International Symposium on Biomedical Imaging","end_date":"2011-04-02","location":"Chicago, Illinois, USA"},"abstract":[{"lang":"eng","text":"Segmentation is the process of partitioning digital images into meaningful regions. The analysis of biological high content images often requires segmentation as a first step. We propose ilastik as an easy-to-use tool which allows the user without expertise in image processing to perform segmentation and classification in a unified way. ilastik learns from labels provided by the user through a convenient mouse interface. Based on these labels, ilastik infers a problem specific segmentation. A random forest classifier is used in the learning step, in which each pixel's neighborhood is characterized by a set of generic (nonlinear) features. ilastik supports up to three spatial plus one spectral dimension and makes use of all dimensions in the feature calculation. ilastik provides realtime feedback that enables the user to interactively refine the segmentation result and hence further fine-tune the classifier. An uncertainty measure guides the user to ambiguous regions in the images. Real time performance is achieved by multi-threading which fully exploits the capabilities of modern multi-core machines. Once a classifier has been trained on a set of representative images, it can be exported and used to automatically process a very large number of images (e.g. using the CellProfiler pipeline). ilastik is an open source project and released under the BSD license at www.ilastik.org."}],"type":"conference","department":[{"_id":"Bio"}],"date_created":"2021-08-19T11:49:58Z","year":"2011","_id":"9943","language":[{"iso":"eng"}],"doi":"10.1109/isbi.2011.5872394","keyword":["image segmentation","biomedical imaging","three dimensional displays","neurons","retina","observers","image color analysis"],"day":"09","oa_version":"Preprint","publisher":"Institute of Electrical and Electronics Engineers","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","citation":{"short":"C.M. Sommer, C. Straehle, U. Köthe, F.A. Hamprecht, in:, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro, Institute of Electrical and Electronics Engineers, 2011.","mla":"Sommer, Christoph M., et al. “Ilastik: Interactive Learning and Segmentation Toolkit.” <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>, Institute of Electrical and Electronics Engineers, 2011, doi:<a href=\"https://doi.org/10.1109/isbi.2011.5872394\">10.1109/isbi.2011.5872394</a>.","chicago":"Sommer, Christoph M, Christoph Straehle, Ullrich Köthe, and Fred A. Hamprecht. “Ilastik: Interactive Learning and Segmentation Toolkit.” In <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>. Institute of Electrical and Electronics Engineers, 2011. <a href=\"https://doi.org/10.1109/isbi.2011.5872394\">https://doi.org/10.1109/isbi.2011.5872394</a>.","ieee":"C. M. Sommer, C. Straehle, U. Köthe, and F. A. Hamprecht, “Ilastik: Interactive learning and segmentation toolkit,” in <i>2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro</i>, Chicago, Illinois, USA, 2011.","ista":"Sommer CM, Straehle C, Köthe U, Hamprecht FA. 2011. Ilastik: Interactive learning and segmentation toolkit. 2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro. ISBI: International Symposium on Biomedical Imaging.","apa":"Sommer, C. M., Straehle, C., Köthe, U., &#38; Hamprecht, F. A. (2011). Ilastik: Interactive learning and segmentation toolkit. In <i>2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro</i>. Chicago, Illinois, USA: Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/isbi.2011.5872394\">https://doi.org/10.1109/isbi.2011.5872394</a>","ama":"Sommer CM, Straehle C, Köthe U, Hamprecht FA. Ilastik: Interactive learning and segmentation toolkit. In: <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>. Institute of Electrical and Electronics Engineers; 2011. doi:<a href=\"https://doi.org/10.1109/isbi.2011.5872394\">10.1109/isbi.2011.5872394</a>"},"author":[{"full_name":"Sommer, Christoph M","first_name":"Christoph M","orcid":"0000-0003-1216-9105","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Straehle, Christoph","first_name":"Christoph","last_name":"Straehle"},{"last_name":"Köthe","full_name":"Köthe, Ullrich","first_name":"Ullrich"},{"last_name":"Hamprecht","first_name":"Fred A.","full_name":"Hamprecht, Fred A."}],"title":"Ilastik: Interactive learning and segmentation toolkit","date_published":"2011-06-09T00:00:00Z","status":"public","publication_identifier":{"issn":["1945-7928"],"isbn":["978-1-4244-4127-3"],"eissn":["1945-8452"]},"oa":1,"publication_status":"published","article_processing_charge":"No","date_updated":"2023-02-23T14:13:38Z","extern":"1","quality_controlled":"1","month":"06","publication":"2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro"}]