{"extern":"1","date_created":"2024-10-08T12:46:01Z","intvolume":"        32","type":"journal_article","oa":1,"page":"8791-8803","volume":32,"publication_identifier":{"issn":["1094-4087"]},"quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1364/OE.515445"}],"day":"11","publisher":"Optica Publishing Group","publication":"Optics Express","oa_version":"Published Version","doi":"10.1364/oe.515445","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","year":"2024","author":[{"full_name":"Wengrowicz, Omri","first_name":"Omri","last_name":"Wengrowicz"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","last_name":"Bronstein","first_name":"Alexander"},{"last_name":"Cohen","first_name":"Oren","full_name":"Cohen, Oren"}],"language":[{"iso":"eng"}],"citation":{"short":"O. Wengrowicz, A.M. Bronstein, O. Cohen, Optics Express 32 (2024) 8791–8803.","chicago":"Wengrowicz, Omri, Alex M. Bronstein, and Oren Cohen. “Unsupervised Physics-Informed Deep Learning-Based Reconstruction for Time-Resolved Imaging by Multiplexed Ptychography.” <i>Optics Express</i>. Optica Publishing Group, 2024. <a href=\"https://doi.org/10.1364/oe.515445\">https://doi.org/10.1364/oe.515445</a>.","ama":"Wengrowicz O, Bronstein AM, Cohen O. Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography. <i>Optics Express</i>. 2024;32(6):8791-8803. doi:<a href=\"https://doi.org/10.1364/oe.515445\">10.1364/oe.515445</a>","apa":"Wengrowicz, O., Bronstein, A. M., &#38; Cohen, O. (2024). Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography. <i>Optics Express</i>. Optica Publishing Group. <a href=\"https://doi.org/10.1364/oe.515445\">https://doi.org/10.1364/oe.515445</a>","mla":"Wengrowicz, Omri, et al. “Unsupervised Physics-Informed Deep Learning-Based Reconstruction for Time-Resolved Imaging by Multiplexed Ptychography.” <i>Optics Express</i>, vol. 32, no. 6, Optica Publishing Group, 2024, pp. 8791–803, doi:<a href=\"https://doi.org/10.1364/oe.515445\">10.1364/oe.515445</a>.","ista":"Wengrowicz O, Bronstein AM, Cohen O. 2024. Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography. Optics Express. 32(6), 8791–8803.","ieee":"O. Wengrowicz, A. M. Bronstein, and O. Cohen, “Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography,” <i>Optics Express</i>, vol. 32, no. 6. Optica Publishing Group, pp. 8791–8803, 2024."},"date_published":"2024-03-11T00:00:00Z","status":"public","publication_status":"published","article_type":"original","month":"03","_id":"18205","date_updated":"2024-10-09T10:26:44Z","article_processing_charge":"Yes (in subscription journal)","issue":"6","title":"Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography","pmid":1,"external_id":{"pmid":["38571128"]},"abstract":[{"text":"We explore numerically an unsupervised, physics-informed, deep learning-based reconstruction technique for time-resolved imaging by multiplexed ptychography. In our method, the untrained deep learning model replaces the iterative algorithm’s update step, yielding superior reconstructions of multiple dynamic object frames compared to conventional methodologies. More precisely, we demonstrate improvements in image quality and resolution, while reducing sensitivity to the number of recorded frames, the mutual orthogonality of different probe modes, overlap between neighboring probe beams and the cutoff frequency of the ptychographic microscope – properties that are generally of paramount importance for ptychographic reconstruction algorithms.","lang":"eng"}]}