[{"publisher":"eLife Sciences Publications","OA_place":"publisher","date_created":"2025-01-08T13:25:45Z","title":"A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus","article_processing_charge":"Yes","file_date_updated":"2025-01-08T13:33:05Z","oa_version":"Published Version","tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"ddc":["570"],"article_number":"89361","date_updated":"2026-10-02T09:53:20Z","license":"https://creativecommons.org/licenses/by/4.0/","das_tickbox":"1","language":[{"iso":"eng"}],"DOAJ_listed":"1","volume":12,"author":[{"first_name":"Csaba","last_name":"Dávid","full_name":"Dávid, Csaba"},{"first_name":"Kristóf","full_name":"Giber, Kristóf","last_name":"Giber"},{"first_name":"Margit Katalin","id":"44F4BDC0-F248-11E8-B48F-1D18A9856A87","full_name":"Szigeti, Margit Katalin","last_name":"Szigeti","orcid":"0000-0001-9500-8758"},{"full_name":"Köllő, Mihály","last_name":"Köllő","first_name":"Mihály"},{"first_name":"Zoltan","last_name":"Nusser","full_name":"Nusser, Zoltan"},{"first_name":"Laszlo","last_name":"Acsady","full_name":"Acsady, Laszlo"}],"status":"public","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","year":"2024","supplementarymaterial":"yes","abstract":[{"text":"Unsupervised segmentation in biological and non-biological images is only partially resolved. Segmentation either requires arbitrary thresholds or large teaching datasets. Here, we propose a spatial autocorrelation method based on Local Moran’s <jats:italic>I</jats:italic> coefficient to differentiate signal, background, and noise in any type of image. The method, originally described for geoinformatics, does not require a predefined intensity threshold or teaching algorithm for image segmentation and allows quantitative comparison of samples obtained in different conditions. It utilizes relative intensity as well as spatial information of neighboring elements to select spatially contiguous groups of pixels. We demonstrate that Moran’s method outperforms threshold-based method in both artificially generated as well as in natural images especially when background noise is substantial. This superior performance can be attributed to the exclusion of false positive pixels resulting from isolated, high intensity pixels in high noise conditions. To test the method’s power in real situation, we used high power confocal images of the somatosensory thalamus immunostained for Kv4.2 and Kv4.3 (A-type) voltage-gated potassium channels in mice. Moran’s method identified high-intensity Kv4.2 and Kv4.3 ion channel clusters in the thalamic neuropil. Spatial distribution of these clusters displayed strong correlation with large sensory axon terminals of subcortical origin. The unique association of the special presynaptic terminals and a postsynaptic voltage-gated ion channel cluster was confirmed with electron microscopy. These data demonstrate that Moran’s method is a rapid, simple image segmentation method optimal for variable and high noise conditions.","lang":"eng"}],"publication":"eLife","researchdata_availability":"yes","quality_controlled":"1","acknowledgement":"This research was supported by the Wellcome Trust (ZN, LA). In addition, LA was supported by an ERC Advanced Grant (FRONTHAL, 742595) and the European Union project RRF-2.3.1-\r\n21-2022-00004 within the framework of the Artificial Intelligence National Laboratory and Lendület_2023_90. ZN is the recipient of a Hungarian Academy of Sciences Momentum Grant (Lendület, LP2012-29) and an ERC Advanced Grant (293681). We thank the Light Microscopy Center at Institute of Experimental Medicine for kindly providing microscopy support. Authors would like to express their deepest gratitude to Prof Luc Anselin (Center for Spatial Data Science, University of Chicago) and Dr Szabolcs Káli (Instiute of Experimental Medicine, Budapest) for the valuable discussion about analysis of spatial association, and to Krisztina Faddi for the excellent technical assistance. ","_id":"18779","month":"12","oa":1,"OA_type":"gold","dataavailabilitystatement":"The code for the analysis is available online as a user-friendly MATLAB script at: https://github.com/dcsabaCD225/Moran_Matlab/blob/main/moran_local.m (copy archived at Csaba, 2024). All source data relevant to figures and charts are included in source data files.","intvolume":"        12","day":"10","type":"journal_article","fulldoi":"https://doi.org/10.7554/elife.89361","publication_status":"published","scopus_import":"1","has_accepted_license":"1","file":[{"file_name":"2024_eLife_David.pdf","checksum":"1d64265f62a3bf14550b4f5c684f1782","success":1,"file_id":"18780","relation":"main_file","date_updated":"2025-01-08T13:33:05Z","file_size":9992462,"content_type":"application/pdf","date_created":"2025-01-08T13:33:05Z","creator":"dernst","access_level":"open_access"}],"citation":{"ama":"Dávid C, Giber K, Szigeti MK, Köllő M, Nusser Z, Acsady L. A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus. <i>eLife</i>. 2024;12. doi:<a href=\"https://doi.org/10.7554/elife.89361\">10.7554/elife.89361</a>","apa":"Dávid, C., Giber, K., Szigeti, M. K., Köllő, M., Nusser, Z., &#38; Acsady, L. (2024). A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/elife.89361\">https://doi.org/10.7554/elife.89361</a>","ieee":"C. Dávid, K. Giber, M. K. Szigeti, M. Köllő, Z. Nusser, and L. Acsady, “A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus,” <i>eLife</i>, vol. 12. eLife Sciences Publications, 2024.","ista":"Dávid C, Giber K, Szigeti MK, Köllő M, Nusser Z, Acsady L. 2024. A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus. eLife. 12, 89361.","short":"C. Dávid, K. Giber, M.K. Szigeti, M. Köllő, Z. Nusser, L. Acsady, ELife 12 (2024).","chicago":"Dávid, Csaba, Kristóf Giber, Margit Katalin Szigeti, Mihály Köllő, Zoltan Nusser, and Laszlo Acsady. “A Novel Image Segmentation Method Based on Spatial Autocorrelation Identifies A-Type Potassium Channel Clusters in the Thalamus.” <i>ELife</i>. eLife Sciences Publications, 2024. <a href=\"https://doi.org/10.7554/elife.89361\">https://doi.org/10.7554/elife.89361</a>.","mla":"Dávid, Csaba, et al. “A Novel Image Segmentation Method Based on Spatial Autocorrelation Identifies A-Type Potassium Channel Clusters in the Thalamus.” <i>ELife</i>, vol. 12, 89361, eLife Sciences Publications, 2024, doi:<a href=\"https://doi.org/10.7554/elife.89361\">10.7554/elife.89361</a>."},"publication_identifier":{"issn":["2050-084X"]},"doi":"10.7554/elife.89361","article_type":"original","date_published":"2024-12-10T00:00:00Z","department":[{"_id":"GaNo"}]},{"department":[{"_id":"GaNo"}],"date_published":"2022-08-01T00:00:00Z","article_type":"original","doi":"10.1093/brain/awac145","citation":{"ama":"Guerrini R, Mei D, Szigeti MK, et al. Phenotypic and genetic spectrum of ATP6V1A encephalopathy: A disorder of lysosomal homeostasis. <i>Brain</i>. 2022;145(8):2687-2703. doi:<a href=\"https://doi.org/10.1093/brain/awac145\">10.1093/brain/awac145</a>","ieee":"R. Guerrini <i>et al.</i>, “Phenotypic and genetic spectrum of ATP6V1A encephalopathy: A disorder of lysosomal homeostasis,” <i>Brain</i>, vol. 145, no. 8. Oxford University Press, pp. 2687–2703, 2022.","apa":"Guerrini, R., Mei, D., Szigeti, M. K., Pepe, S., Koenig, M. K., Von Allmen, G., … Fassio, A. (2022). Phenotypic and genetic spectrum of ATP6V1A encephalopathy: A disorder of lysosomal homeostasis. <i>Brain</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/brain/awac145\">https://doi.org/10.1093/brain/awac145</a>","short":"R. Guerrini, D. Mei, M.K. Szigeti, S. Pepe, M.K. Koenig, G. Von Allmen, M.T. Cho, K. McDonald, J. Baker, V. Bhambhani, Z. Powis, L. Rodan, R. Nabbout, G. Barcia, J.A. Rosenfeld, C.A. Bacino, C. Mignot, L.H. Power, C.J. Harris, D. Marjanovic, R.S. Møller, T.B. Hammer, R. Keski Filppula, P. Vieira, C. Hildebrandt, S. Sacharow, L. Maragliano, F. Benfenati, K. Lachlan, A. Benneche, F. Petit, J.M. de Sainte Agathe, B. Hallinan, Y. Si, I.M. Wentzensen, F. Zou, V. Narayanan, N. Matsumoto, A. Boncristiano, G. la Marca, M. Kato, K. Anderson, C. Barba, L. Sturiale, D. Garozzo, R. Bei, L. Masuelli, V. Conti, G. Novarino, A. Fassio, Brain 145 (2022) 2687–2703.","ista":"Guerrini R, Mei D, Szigeti MK, Pepe S, Koenig MK, Von Allmen G, Cho MT, McDonald K, Baker J, Bhambhani V, Powis Z, Rodan L, Nabbout R, Barcia G, Rosenfeld JA, Bacino CA, Mignot C, Power LH, Harris CJ, Marjanovic D, Møller RS, Hammer TB, Keski Filppula R, Vieira P, Hildebrandt C, Sacharow S, Maragliano L, Benfenati F, Lachlan K, Benneche A, Petit F, de Sainte Agathe JM, Hallinan B, Si Y, Wentzensen IM, Zou F, Narayanan V, Matsumoto N, Boncristiano A, la Marca G, Kato M, Anderson K, Barba C, Sturiale L, Garozzo D, Bei R, Masuelli L, Conti V, Novarino G, Fassio A. 2022. Phenotypic and genetic spectrum of ATP6V1A encephalopathy: A disorder of lysosomal homeostasis. Brain. 145(8), 2687–2703.","mla":"Guerrini, Renzo, et al. “Phenotypic and Genetic Spectrum of ATP6V1A Encephalopathy: A Disorder of Lysosomal Homeostasis.” <i>Brain</i>, vol. 145, no. 8, Oxford University Press, 2022, pp. 2687–703, doi:<a href=\"https://doi.org/10.1093/brain/awac145\">10.1093/brain/awac145</a>.","chicago":"Guerrini, Renzo, Davide Mei, Margit Katalin Szigeti, Sara Pepe, Mary Kay Koenig, Gretchen Von Allmen, Megan T Cho, et al. “Phenotypic and Genetic Spectrum of ATP6V1A Encephalopathy: A Disorder of Lysosomal Homeostasis.” <i>Brain</i>. Oxford University Press, 2022. <a href=\"https://doi.org/10.1093/brain/awac145\">https://doi.org/10.1093/brain/awac145</a>."},"publication_identifier":{"issn":["0006-8950"],"eissn":["1460-2156"]},"scopus_import":"1","fulldoi":"https://doi.org/10.1093/brain/awac145","publication_status":"published","type":"journal_article","day":"01","intvolume":"       145","project":[{"_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","grant_number":"754411"}],"oa":1,"month":"08","_id":"12174","acknowledgement":"We thank all patients and family members for their participation in this study. We thank Melanie Pieraks and Eva Reinthaler (Neurolentech, Austria) for generating the human iPSC lines and\r\nfor performing quality checks. We thank Vanessa Zheden and Daniel Gütl for their excellent technical support in the specimen preparation for transmission electron microscopy and Flavia Leite for preparing the lentiviruses. The support from Electron Microscopy Facility and Molecular Biology Services at IST Austria is greatly acknowledged. We would like to thank Doctors Jane Hurst and Richard Scott for their help in retrieving the detailed clinical information of Patient 17. The research team acknowledges the support of the National Institute for Health Research, through the Comprehensive Clinical Research Network. See Supplementary Material for Undiagnosed Disease Network consortium details. Genetic information on Patient 23 was made available through access to the data and findings generated by the 100 000 Genomes\r\nProject; www.genomicsengland.co.uk (to K.L.). \r\nThis work was supported by the EU 7th Framework Programme (FP7) under the project DESIRE grant N602531 (to R.G.); the Regione Toscana under the Call for Health 2018 (grant\r\nDECODE-EE) (to R.G.); the ‘Brain Project’ by Fondazione Cassa di Risparmio di Firenze (to R.G.); IRCCS Ospedale Policlinico San Martino 5×1000 and Ricerca Corrente (to A.F. and F.B.). The European Reference Network (ERN) for rare and complex epilepsies (EpiCARE) provided financial support for meetings organization. The DDD study presents independent research commissioned by the Health Innovation Challenge Fund (grant number HICF-1009-003), a parallel funding partnership between Wellcome and the Department of Health, and the Wellcome Sanger Institute (grant number WT098051). The views expressed in this publication\r\nare those of the author(s) and not necessarily those of Wellcome or the Department of Health. The study has UK Research Ethics Committee approval (10/H0305/83, granted by the Cambridge South REC, and GEN/284/12 granted by the Republic of Ireland REC). This study makes use of DECIPHER (https://www.deciphergenomics.org), which is funded by Wellcome. K.K.-S. was supported by the ISTplus fellowship. ","quality_controlled":"1","publication":"Brain","abstract":[{"text":"Vacuolar-type H+-ATPase (V-ATPase) is a multimeric complex present in a variety of cellular membranes that acts as an ATP-dependent proton pump and plays a key role in pH homeostasis and intracellular signalling pathways. In humans, 22 autosomal genes encode for a redundant set of subunits allowing the composition of diverse V-ATPase complexes with specific properties and expression. Sixteen subunits have been linked to human disease.\r\nHere we describe 26 patients harbouring 20 distinct pathogenic de novo missense ATP6V1A variants, mainly clustering within the ATP synthase α/β family-nucleotide-binding domain. At a mean age of 7 years (extremes: 6 weeks, youngest deceased patient to 22 years, oldest patient) clinical pictures included early lethal encephalopathies with rapidly progressive massive brain atrophy, severe developmental epileptic encephalopathies and static intellectual disability with epilepsy. The first clinical manifestation was early hypotonia, in 70%; 81% developed epilepsy, manifested as developmental epileptic encephalopathies in 58% of the cohort and with infantile spasms in 62%; 63% of developmental epileptic encephalopathies failed to achieve any developmental, communicative or motor skills. Less severe outcomes were observed in 23% of patients who, at a mean age of 10 years and 6 months, exhibited moderate intellectual disability, with independent walking and variable epilepsy. None of the patients developed communicative language. Microcephaly (38%) and amelogenesis imperfecta/enamel dysplasia (42%) were additional clinical features. Brain MRI demonstrated hypomyelination and generalized atrophy in 68%. Atrophy was progressive in all eight individuals undergoing repeated MRIs.</jats:p>\r\n               <jats:p>Fibroblasts of two patients with developmental epileptic encephalopathies showed decreased LAMP1 expression, Lysotracker staining and increased organelle pH, consistent with lysosomal impairment and loss of V-ATPase function. Fibroblasts of two patients with milder disease, exhibited a different phenotype with increased Lysotracker staining, decreased organelle pH and no significant modification in LAMP1 expression. Quantification of substrates for lysosomal enzymes in cellular extracts from four patients revealed discrete accumulation. Transmission electron microscopy of fibroblasts of four patients with variable severity and of induced pluripotent stem cell-derived neurons from two patients with developmental epileptic encephalopathies showed electron-dense inclusions, lipid droplets, osmiophilic material and lamellated membrane structures resembling phospholipids. Quantitative assessment in induced pluripotent stem cell-derived neurons identified significantly smaller lysosomes.\r\nATP6V1A-related encephalopathy represents a new paradigm among lysosomal disorders. It results from a dysfunctional endo-lysosomal membrane protein causing altered pH homeostasis. Its pathophysiology implies intracellular accumulation of substrates whose composition remains unclear, and a combination of developmental brain abnormalities and neurodegenerative changes established during prenatal and early postanal development, whose severity is variably determined by specific pathogenic variants.","lang":"eng"}],"year":"2022","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","author":[{"full_name":"Guerrini, Renzo","last_name":"Guerrini","first_name":"Renzo"},{"last_name":"Mei","full_name":"Mei, Davide","first_name":"Davide"},{"first_name":"Margit Katalin","id":"44F4BDC0-F248-11E8-B48F-1D18A9856A87","full_name":"Szigeti, Margit Katalin","last_name":"Szigeti","orcid":"0000-0001-9500-8758"},{"first_name":"Sara","full_name":"Pepe, Sara","last_name":"Pepe"},{"first_name":"Mary Kay","full_name":"Koenig, Mary Kay","last_name":"Koenig"},{"first_name":"Gretchen","last_name":"Von Allmen","full_name":"Von Allmen, Gretchen"},{"first_name":"Megan T","last_name":"Cho","full_name":"Cho, Megan T"},{"full_name":"McDonald, Kimberly","last_name":"McDonald","first_name":"Kimberly"},{"first_name":"Janice","full_name":"Baker, Janice","last_name":"Baker"},{"first_name":"Vikas","last_name":"Bhambhani","full_name":"Bhambhani, Vikas"},{"first_name":"Zöe","last_name":"Powis","full_name":"Powis, Zöe"},{"full_name":"Rodan, Lance","last_name":"Rodan","first_name":"Lance"},{"full_name":"Nabbout, Rima","last_name":"Nabbout","first_name":"Rima"},{"full_name":"Barcia, Giulia","last_name":"Barcia","first_name":"Giulia"},{"first_name":"Jill A","last_name":"Rosenfeld","full_name":"Rosenfeld, Jill A"},{"first_name":"Carlos A","last_name":"Bacino","full_name":"Bacino, Carlos A"},{"last_name":"Mignot","full_name":"Mignot, Cyril","first_name":"Cyril"},{"first_name":"Lillian H","full_name":"Power, Lillian H","last_name":"Power"},{"first_name":"Catharine J","last_name":"Harris","full_name":"Harris, Catharine J"},{"first_name":"Dragan","last_name":"Marjanovic","full_name":"Marjanovic, Dragan"},{"first_name":"Rikke S","full_name":"Møller, Rikke S","last_name":"Møller"},{"first_name":"Trine B","full_name":"Hammer, Trine B","last_name":"Hammer"},{"last_name":"Keski Filppula","full_name":"Keski Filppula, Riikka","first_name":"Riikka"},{"full_name":"Vieira, Päivi","last_name":"Vieira","first_name":"Päivi"},{"first_name":"Clara","full_name":"Hildebrandt, Clara","last_name":"Hildebrandt"},{"full_name":"Sacharow, Stephanie","last_name":"Sacharow","first_name":"Stephanie"},{"last_name":"Maragliano","full_name":"Maragliano, Luca","first_name":"Luca"},{"first_name":"Fabio","full_name":"Benfenati, Fabio","last_name":"Benfenati"},{"full_name":"Lachlan, Katherine","last_name":"Lachlan","first_name":"Katherine"},{"first_name":"Andreas","last_name":"Benneche","full_name":"Benneche, Andreas"},{"first_name":"Florence","last_name":"Petit","full_name":"Petit, Florence"},{"last_name":"de Sainte Agathe","full_name":"de Sainte Agathe, Jean Madeleine","first_name":"Jean Madeleine"},{"last_name":"Hallinan","full_name":"Hallinan, Barbara","first_name":"Barbara"},{"first_name":"Yue","full_name":"Si, Yue","last_name":"Si"},{"first_name":"Ingrid M","last_name":"Wentzensen","full_name":"Wentzensen, Ingrid M"},{"last_name":"Zou","full_name":"Zou, Fanggeng","first_name":"Fanggeng"},{"first_name":"Vinodh","last_name":"Narayanan","full_name":"Narayanan, Vinodh"},{"last_name":"Matsumoto","full_name":"Matsumoto, Naomichi","first_name":"Naomichi"},{"first_name":"Alessandra","full_name":"Boncristiano, Alessandra","last_name":"Boncristiano"},{"full_name":"la Marca, Giancarlo","last_name":"la Marca","first_name":"Giancarlo"},{"last_name":"Kato","full_name":"Kato, Mitsuhiro","first_name":"Mitsuhiro"},{"last_name":"Anderson","full_name":"Anderson, Kristin","first_name":"Kristin"},{"first_name":"Carmen","last_name":"Barba","full_name":"Barba, Carmen"},{"first_name":"Luisa","last_name":"Sturiale","full_name":"Sturiale, Luisa"},{"first_name":"Domenico","last_name":"Garozzo","full_name":"Garozzo, Domenico"},{"last_name":"Bei","full_name":"Bei, Roberto","first_name":"Roberto"},{"full_name":"Masuelli, Laura","last_name":"Masuelli","first_name":"Laura"},{"last_name":"Conti","full_name":"Conti, Valerio","first_name":"Valerio"},{"orcid":"0000-0002-7673-7178","first_name":"Gaia","last_name":"Novarino","full_name":"Novarino, Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Fassio, Anna","last_name":"Fassio","first_name":"Anna"}],"volume":145,"isi":1,"acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"LifeSc"}],"keyword":["Neurology (clinical)"],"language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1093/brain/awac145"}],"date_updated":"2026-06-18T17:24:52Z","page":"2687-2703","external_id":{"isi":["000807770000001"],"pmid":["35675510"]},"ddc":["570"],"oa_version":"Published Version","issue":"8","ec_funded":1,"article_processing_charge":"No","title":"Phenotypic and genetic spectrum of ATP6V1A encephalopathy: A disorder of lysosomal homeostasis","date_created":"2023-01-12T12:11:45Z","pmid":1,"publisher":"Oxford University Press"},{"title":"Improved spike inference accuracy by estimating the peak amplitude of unitary [Ca2+] transients in weakly GCaMP6f-expressing hippocampal pyramidal cells","article_processing_charge":"No","publisher":"Wiley","date_created":"2019-05-19T21:59:17Z","pmid":1,"external_id":{"pmid":["31006863"],"isi":["000470780400013"]},"oa_version":"Published Version","ddc":["570"],"issue":"11","date_updated":"2026-06-18T19:05:34Z","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1113/JP277681"}],"page":"2925–2947","status":"public","author":[{"first_name":"Tímea","last_name":"Éltes","full_name":"Éltes, Tímea"},{"last_name":"Szoboszlay","full_name":"Szoboszlay, Miklos","first_name":"Miklos"},{"first_name":"Margit Katalin","full_name":"Szigeti, Margit Katalin","last_name":"Szigeti","id":"44F4BDC0-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9500-8758"},{"full_name":"Nusser, Zoltan","last_name":"Nusser","first_name":"Zoltan"}],"year":"2019","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","isi":1,"volume":597,"quality_controlled":"1","abstract":[{"text":"Investigating neuronal activity using genetically encoded Ca2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent tracers. Here we combine two‐photon [Ca2+] imaging with cell‐attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the amplitude, kinetics and temporal summation of somatic [Ca2+] transients in mouse hippocampal pyramidal cells (PCs). The amplitude of unitary [Ca2+] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescence signals is frequency‐dependent, supralinear and also shows remarkable cell‐to‐cell variability. We performed experimental data‐based simulations and found that spike inference error rates using MLspike depend strongly on unitary peak amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca2+] transients in individual weakly GCaMP6f‐expressing PCs, with which we achieve spike inference error rates of ∼5%. ","lang":"eng"}],"publication":"Journal of Physiology","_id":"6470","oa":1,"month":"06","day":"01","intvolume":"       597","publication_status":"published","fulldoi":"https://doi.org/10.1113/JP277681","type":"journal_article","date_published":"2019-06-01T00:00:00Z","article_type":"original","department":[{"_id":"GaNo"}],"scopus_import":"1","doi":"10.1113/JP277681","publication_identifier":{"eissn":["1469-7793"],"issn":["0022-3751"]},"citation":{"short":"T. Éltes, M. Szoboszlay, M.K. Szigeti, Z. Nusser, Journal of Physiology 597 (2019) 2925–2947.","ista":"Éltes T, Szoboszlay M, Szigeti MK, Nusser Z. 2019. Improved spike inference accuracy by estimating the peak amplitude of unitary [Ca2+] transients in weakly GCaMP6f-expressing hippocampal pyramidal cells. Journal of Physiology. 597(11), 2925–2947.","mla":"Éltes, Tímea, et al. “Improved Spike Inference Accuracy by Estimating the Peak Amplitude of Unitary [Ca2+] Transients in Weakly GCaMP6f-Expressing Hippocampal Pyramidal Cells.” <i>Journal of Physiology</i>, vol. 597, no. 11, Wiley, 2019, pp. 2925–2947, doi:<a href=\"https://doi.org/10.1113/JP277681\">10.1113/JP277681</a>.","chicago":"Éltes, Tímea, Miklos Szoboszlay, Margit Katalin Szigeti, and Zoltan Nusser. “Improved Spike Inference Accuracy by Estimating the Peak Amplitude of Unitary [Ca2+] Transients in Weakly GCaMP6f-Expressing Hippocampal Pyramidal Cells.” <i>Journal of Physiology</i>. Wiley, 2019. <a href=\"https://doi.org/10.1113/JP277681\">https://doi.org/10.1113/JP277681</a>.","ama":"Éltes T, Szoboszlay M, Szigeti MK, Nusser Z. Improved spike inference accuracy by estimating the peak amplitude of unitary [Ca2+] transients in weakly GCaMP6f-expressing hippocampal pyramidal cells. <i>Journal of Physiology</i>. 2019;597(11):2925–2947. doi:<a href=\"https://doi.org/10.1113/JP277681\">10.1113/JP277681</a>","apa":"Éltes, T., Szoboszlay, M., Szigeti, M. K., &#38; Nusser, Z. (2019). Improved spike inference accuracy by estimating the peak amplitude of unitary [Ca2+] transients in weakly GCaMP6f-expressing hippocampal pyramidal cells. <i>Journal of Physiology</i>. Wiley. <a href=\"https://doi.org/10.1113/JP277681\">https://doi.org/10.1113/JP277681</a>","ieee":"T. Éltes, M. Szoboszlay, M. K. Szigeti, and Z. Nusser, “Improved spike inference accuracy by estimating the peak amplitude of unitary [Ca2+] transients in weakly GCaMP6f-expressing hippocampal pyramidal cells,” <i>Journal of Physiology</i>, vol. 597, no. 11. Wiley, pp. 2925–2947, 2019."}}]