{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:07:36Z","timestamp":1775578056288,"version":"3.50.1"},"reference-count":94,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T00:00:00Z","timestamp":1681689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T00:00:00Z","timestamp":1681689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nat Methods"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1038\/s41592-023-01848-5","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T12:04:28Z","timestamp":1681733068000},"page":"824-835","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":53,"title":["BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets"],"prefix":"10.1038","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2036-2204","authenticated-orcid":false,"given":"Linus","family":"Manubens-Gil","sequence":"first","affiliation":[]},{"given":"Zhi","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Hanbo","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Arvind","family":"Ramanathan","sequence":"additional","affiliation":[]},{"given":"Xiaoxiao","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0848-5113","authenticated-orcid":false,"given":"Yufeng","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2895-6544","authenticated-orcid":false,"given":"Alessandro","family":"Bria","sequence":"additional","affiliation":[]},{"given":"Todd","family":"Gillette","sequence":"additional","affiliation":[]},{"given":"Zongcai","family":"Ruan","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Miroslav","family":"Radojevi\u0107","sequence":"additional","affiliation":[]},{"given":"Ting","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Li","family":"Cheng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2129-5253","authenticated-orcid":false,"given":"Lei","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Siqi","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Kristofer E.","family":"Bouchard","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7419-6240","authenticated-orcid":false,"given":"Lin","family":"Gu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3706-8896","authenticated-orcid":false,"given":"Weidong","family":"Cai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4205-4563","authenticated-orcid":false,"given":"Shuiwang","family":"Ji","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8310-1389","authenticated-orcid":false,"given":"Badrinath","family":"Roysam","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9992-6863","authenticated-orcid":false,"given":"Ching-Wei","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8508-7488","authenticated-orcid":false,"given":"Hongchuan","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Amos","family":"Sironi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8629-7639","authenticated-orcid":false,"given":"Daniel Maxim","family":"Iascone","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Erhan","family":"Bas","sequence":"additional","affiliation":[]},{"given":"Eduardo","family":"Conde-Sousa","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Aguiar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9851-6376","authenticated-orcid":false,"given":"Xiang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yujie","family":"Li","sequence":"additional","affiliation":[]},{"given":"Sumit","family":"Nanda","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4347-7063","authenticated-orcid":false,"given":"Yuan","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7602-0249","authenticated-orcid":false,"given":"Leila","family":"Muresan","sequence":"additional","affiliation":[]},{"given":"Pascal","family":"Fua","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8828-4065","authenticated-orcid":false,"given":"Bing","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Hai-yan","family":"He","sequence":"additional","affiliation":[]},{"given":"Jochen F.","family":"Staiger","sequence":"additional","affiliation":[]},{"given":"Manuel","family":"Peter","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9191-9212","authenticated-orcid":false,"given":"Daniel N.","family":"Cox","sequence":"additional","affiliation":[]},{"given":"Michel","family":"Simonneau","sequence":"additional","affiliation":[]},{"given":"Marcel","family":"Oberlaender","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0587-9355","authenticated-orcid":false,"given":"Gregory","family":"Jefferis","sequence":"additional","affiliation":[]},{"given":"Kei","family":"Ito","sequence":"additional","affiliation":[]},{"given":"Paloma","family":"Gonzalez-Bellido","sequence":"additional","affiliation":[]},{"given":"Jinhyun","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Edwin","family":"Rubel","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4887-9603","authenticated-orcid":false,"given":"Hollis T.","family":"Cline","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0326-5878","authenticated-orcid":false,"given":"Hongkui","family":"Zeng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3822-489X","authenticated-orcid":false,"given":"Aljoscha","family":"Nern","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9668-7115","authenticated-orcid":false,"given":"Ann-Shyn","family":"Chiang","sequence":"additional","affiliation":[]},{"given":"Jianhua","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Jane","family":"Roskams","sequence":"additional","affiliation":[]},{"given":"Rick","family":"Livesey","sequence":"additional","affiliation":[]},{"given":"Janine","family":"Stevens","sequence":"additional","affiliation":[]},{"given":"Tianming","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Chinh","family":"Dang","sequence":"additional","affiliation":[]},{"given":"Yike","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Ning","family":"Zhong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9418-9638","authenticated-orcid":false,"given":"Georgia","family":"Tourassi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8055-860X","authenticated-orcid":false,"given":"Sean","family":"Hill","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5741-8024","authenticated-orcid":false,"given":"Michael","family":"Hawrylycz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6482-8067","authenticated-orcid":false,"given":"Christof","family":"Koch","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8015-8358","authenticated-orcid":false,"given":"Erik","family":"Meijering","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0964-676X","authenticated-orcid":false,"given":"Giorgio A.","family":"Ascoli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3478-3942","authenticated-orcid":false,"given":"Hanchuan","family":"Peng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,17]]},"reference":[{"key":"1848_CR1","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1002\/cyto.a.20895","volume":"77","author":"E Meijering","year":"2010","unstructured":"Meijering, E. Neuron tracing in perspective. Cytometry A 77, 693\u2013704 (2010).","journal-title":"Cytometry A"},{"key":"1848_CR2","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1016\/j.neuron.2013.03.008","volume":"77","author":"R Parekh","year":"2013","unstructured":"Parekh, R. & Ascoli, G. A. Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron 77, 1017\u20131038 (2013).","journal-title":"Neuron"},{"key":"1848_CR3","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/0165-0270(83)90092-4","volume":"8","author":"JJ Capowski","year":"1983","unstructured":"Capowski, J. J. An automatic neuron reconstruction system. J. Neurosci. Methods 8, 353\u2013364 (1983).","journal-title":"J. Neurosci. Methods"},{"key":"1848_CR4","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s12021-011-9107-0","volume":"9","author":"SL Senft","year":"2011","unstructured":"Senft, S. L. A brief history of neuronal reconstruction. Neuroinformatics 9, 119\u2013128 (2011).","journal-title":"Neuroinformatics"},{"key":"1848_CR5","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1038\/nmeth.2450","volume":"10","author":"D Cai","year":"2013","unstructured":"Cai, D., Cohen, K. B., Luo, T., Lichtman, J. W. & Sanes, J. R. Improved tools for the Brainbow toolbox. Nat. Methods 10, 540\u2013547 (2013).","journal-title":"Nat. Methods"},{"key":"1848_CR6","doi-asserted-by":"publisher","first-page":"E2967","DOI":"10.1073\/pnas.1506763112","volume":"112","author":"A Nern","year":"2015","unstructured":"Nern, A., Pfeiffer, B. D. & Rubin, G. M. Optimized tools for multicolor stochastic labeling reveal diverse stereotyped cell arrangements in the fly visual system. Proc. Natl Acad. Sci. USA 112, E2967\u2013E2976 (2015).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"1848_CR7","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/j.cell.2018.06.035","volume":"174","author":"TL Daigle","year":"2018","unstructured":"Daigle, T. L. et al. A suite of transgenic driver and reporter mouse lines with enhanced brain-cell-type targeting and functionality. Cell 174, 465\u2013480 (2018).","journal-title":"Cell"},{"key":"1848_CR8","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1038\/nmeth.2481","volume":"10","author":"K Chung","year":"2013","unstructured":"Chung, K. & Deisseroth, K. CLARITY for mapping the nervous system. Nat. Methods 10, 508\u2013513 (2013).","journal-title":"Nat. Methods"},{"key":"1848_CR9","doi-asserted-by":"publisher","first-page":"1481","DOI":"10.1038\/nn.2928","volume":"14","author":"H Hama","year":"2011","unstructured":"Hama, H. et al. Scale: a chemical approach for fluorescence imaging and reconstruction of transparent mouse brain. Nat. Neurosci. 14, 1481\u20131488 (2011).","journal-title":"Nat. Neurosci."},{"key":"1848_CR10","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1126\/science.1100035","volume":"305","author":"J Huisken","year":"2004","unstructured":"Huisken, J., Swoger, J., Del Bene, F., Wittbrodt, J. & Stelzer, E. H. K. Optical sectioning deep inside live embryos by selective plane illumination microscopy. Science 305, 1007\u20131009 (2004).","journal-title":"Science"},{"key":"1848_CR11","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1038\/nmeth1017","volume":"4","author":"PJ Verveer","year":"2007","unstructured":"Verveer, P. J. et al. High-resolution three-dimensional imaging of large specimens with light sheet-based microscopy. Nat. Methods 4, 311\u2013313 (2007).","journal-title":"Nat. Methods"},{"key":"1848_CR12","doi-asserted-by":"publisher","first-page":"1404","DOI":"10.1126\/science.1191776","volume":"330","author":"A Li","year":"2010","unstructured":"Li, A. et al. Micro-optical sectioning tomography to obtain a high-resolution atlas of the mouse brain. Science 330, 1404\u20131408 (2010).","journal-title":"Science"},{"key":"1848_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cub.2010.11.056","volume":"21","author":"A-S Chiang","year":"2011","unstructured":"Chiang, A.-S. et al. Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution. Curr. Biol. 21, 1\u201311 (2011).","journal-title":"Curr. Biol."},{"key":"1848_CR14","doi-asserted-by":"publisher","first-page":"e80660","DOI":"10.7554\/eLife.80660","volume":"12","author":"GW Meissner","year":"2023","unstructured":"Meissner, G. W. et al. A searchable image resource of Drosophila GAL4-driver expression patterns with single neuron resolution. eLife 12, e80660 (2023).","journal-title":"eLife"},{"key":"1848_CR15","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1038\/nrn1848","volume":"7","author":"H Markram","year":"2006","unstructured":"Markram, H. The blue brain project. Nat. Rev. Neurosci. 7, 153\u2013160 (2006).","journal-title":"Nat. Rev. Neurosci."},{"key":"1848_CR16","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1016\/j.neuron.2017.10.007","volume":"96","author":"JR Ecker","year":"2017","unstructured":"Ecker, J. R. et al. The BRAIN Initiative Cell Census Consortium: lessons learned toward generating a comprehensive brain cell atlas. Neuron 96, 542\u2013557 (2017).","journal-title":"Neuron"},{"key":"1848_CR17","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/s12021-017-9337-x","volume":"15","author":"DB Stockton","year":"2017","unstructured":"Stockton, D. B. & Santamaria, F. Integrating the Allen Brain Institute Cell Types Database into automated neuroscience workflow. Neuroinformatics 15, 333\u2013342 (2017).","journal-title":"Neuroinformatics"},{"key":"1848_CR18","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1016\/j.neucom.2005.12.042","volume":"69","author":"T Yamasaki","year":"2006","unstructured":"Yamasaki, T., Isokawa, T., Matsui, N., Ikeno, H. & Kanzaki, R. Reconstruction and simulation for three-dimensional morphological structure of insect neurons. Neurocomputing 69, 1043\u20131047 (2006).","journal-title":"Neurocomputing"},{"key":"1848_CR19","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/s12021-011-9110-5","volume":"9","author":"Y Wang","year":"2011","unstructured":"Wang, Y., Narayanaswamy, A., Tsai, C.-L. & Roysam, B. A broadly applicable 3-D neuron tracing method based on open-curve snake. Neuroinformatics 9, 193\u2013217 (2011).","journal-title":"Neuroinformatics"},{"key":"1848_CR20","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s12021-011-9120-3","volume":"9","author":"T Zhao","year":"2011","unstructured":"Zhao, T. et al. Automated reconstruction of neuronal morphology based on local geometrical and global structural models. Neuroinformatics 9, 247\u2013261 (2011).","journal-title":"Neuroinformatics"},{"key":"1848_CR21","doi-asserted-by":"publisher","first-page":"1448","DOI":"10.1093\/bioinformatics\/btt170","volume":"29","author":"H Xiao","year":"2013","unstructured":"Xiao, H. & Peng, H. APP2: automatic tracing of 3D neuron morphology based on hierarchical pruning of a gray-weighted image distance-tree. Bioinformatics 29, 1448\u20131454 (2013).","journal-title":"Bioinformatics"},{"key":"1848_CR22","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/s12021-014-9253-2","volume":"13","author":"A Santamar\u00eda-Pang","year":"2015","unstructured":"Santamar\u00eda-Pang, A., Hernandez-Herrera, P., Papadakis, M., Saggau, P. & Kakadiaris, I. A. Automatic morphological reconstruction of neurons from multiphoton and confocal microscopy images using 3D tubular models. Neuroinformatics 13, 297\u2013320 (2015).","journal-title":"Neuroinformatics"},{"key":"1848_CR23","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1038\/nmeth.4233","volume":"14","author":"H Peng","year":"2017","unstructured":"Peng, H. et al. Automatic tracing of ultra-volumes of neuronal images. Nat. Methods 14, 332\u2013333 (2017).","journal-title":"Nat. Methods"},{"key":"1848_CR24","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.cell.2019.07.042","volume":"179","author":"J Winnubst","year":"2019","unstructured":"Winnubst, J. et al. Reconstruction of 1,000 projection neurons reveals new cell types and organization of long-range connectivity in the mouse brain. Cell 179, 268\u2013281 (2019).","journal-title":"Cell"},{"key":"1848_CR25","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1038\/s41586-021-03941-1","volume":"598","author":"H Peng","year":"2021","unstructured":"Peng, H. et al. Morphological diversity of single neurons in molecularly defined cell types. Nature 598, 174\u2013181 (2021).","journal-title":"Nature"},{"key":"1848_CR26","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1038\/s41592-021-01074-x","volume":"18","author":"Q Zhong","year":"2021","unstructured":"Zhong, Q. et al. High-definition imaging using line-illumination modulation microscopy. Nat. Methods 18, 309\u2013315 (2021).","journal-title":"Nat. Methods"},{"key":"1848_CR27","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s40708-016-0041-7","volume":"3","author":"JC Shillcock","year":"2016","unstructured":"Shillcock, J. C., Hawrylycz, M., Hill, S. & Peng, H. Reconstructing the brain: from image stacks to neuron synthesis. Brain Inform. 3, 205\u2013209 (2016).","journal-title":"Brain Inform."},{"key":"1848_CR28","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/s12021-015-9270-9","volume":"13","author":"H Peng","year":"2015","unstructured":"Peng, H., Meijering, E. & Ascoli, G. A. From DIADEM to BigNeuron. Neuroinformatics 13, 259\u2013260 (2015).","journal-title":"Neuroinformatics"},{"key":"1848_CR29","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s12021-011-9117-y","volume":"9","author":"TA Gillette","year":"2011","unstructured":"Gillette, T. A., Brown, K. M. & Ascoli, G. A. The DIADEM metric: comparing multiple reconstructions of the same neuron. Neuroinformatics 9, 233\u2013245 (2011).","journal-title":"Neuroinformatics"},{"key":"1848_CR30","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.neuron.2015.06.036","volume":"87","author":"H Peng","year":"2015","unstructured":"Peng, H. et al. BigNeuron: large-scale 3D neuron reconstruction from optical microscopy images. Neuron 87, 252\u2013256 (2015).","journal-title":"Neuron"},{"key":"1848_CR31","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/0165-0270(93)90020-R","volume":"47","author":"EW Stockley","year":"1993","unstructured":"Stockley, E. W., Cole, H. M., Brown, A. D. & Wheal, H. V. A system for quantitative morphological measurement and electronic modelling of neurons: three-dimensional reconstruction. J. Neurosci. Methods 47, 39\u201351 (1993).","journal-title":"J. Neurosci. Methods"},{"key":"1848_CR32","doi-asserted-by":"publisher","first-page":"138","DOI":"10.3389\/fnana.2014.00138","volume":"8","author":"S Polavaram","year":"2014","unstructured":"Polavaram, S., Gillette, T. A., Parekh, R. & Ascoli, G. A. Statistical analysis and data mining of digital reconstructions of dendritic morphologies. Front. Neuroanat. 8, 138 (2014).","journal-title":"Front. Neuroanat."},{"key":"1848_CR33","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.6","volume":"5","author":"MA Akram","year":"2018","unstructured":"Akram, M. A., Nanda, S., Maraver, P., Arma\u00f1anzas, R. & Ascoli, G. A. An open repository for single-cell reconstructions of the brain forest. Sci. Data 5, 180006 (2018).","journal-title":"Sci. Data"},{"key":"1848_CR34","doi-asserted-by":"publisher","first-page":"3081","DOI":"10.1016\/j.celrep.2019.04.097","volume":"27","author":"AD Bird","year":"2019","unstructured":"Bird, A. D. & Cuntz, H. Dissecting Sholl analysis into its functional components. Cell Rep. 27, 3081\u20133096 (2019).","journal-title":"Cell Rep."},{"key":"1848_CR35","doi-asserted-by":"crossref","unstructured":"Forbes, C., Evans, M., Hastings, N. & Peacock, B. Statistical Distributions (Wiley Hoboken, 2011).","DOI":"10.1002\/9780470627242"},{"key":"1848_CR36","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz, G. Estimating the dimension of a model. Ann. Stat. 6, 461\u2013464 (1978).","journal-title":"Ann. Stat."},{"key":"1848_CR37","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s12021-017-9325-1","volume":"15","author":"C-W Wang","year":"2017","unstructured":"Wang, C.-W., Lee, Y.-C., Pradana, H., Zhou, Z. & Peng, H. Ensemble neuron tracer for 3D neuron reconstruction. Neuroinformatics 15, 185\u2013198 (2017).","journal-title":"Neuroinformatics"},{"key":"1848_CR38","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1038\/s41586-021-03970-w","volume":"598","author":"R Mu\u00f1oz-Casta\u00f1eda","year":"2021","unstructured":"Mu\u00f1oz-Casta\u00f1eda, R. et al. Cellular anatomy of the mouse primary motor cortex. Nature 598, 159\u2013166 (2021).","journal-title":"Nature"},{"key":"1848_CR39","doi-asserted-by":"publisher","first-page":"9839","DOI":"10.1364\/OE.21.009839","volume":"21","author":"T Zheng","year":"2013","unstructured":"Zheng, T. et al. Visualization of brain circuits using two-photon fluorescence micro-optical sectioning tomography. Opt. Express 21, 9839\u20139850 (2013).","journal-title":"Opt. Express"},{"key":"1848_CR40","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1007\/s12021-022-09569-4","volume":"20","author":"S Jiang","year":"2022","unstructured":"Jiang, S. et al. Petabyte-scale multi-morphometry of single neurons for whole brains. Neuroinformatics 20, 525\u2013536 (2022).","journal-title":"Neuroinformatics"},{"key":"1848_CR41","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1016\/j.neuron.2012.06.006","volume":"74","author":"AP Alivisatos","year":"2012","unstructured":"Alivisatos, A. P. et al. The Brain Activity Map Project and the challenge of functional connectomics. Neuron 74, 970\u2013974 (2012).","journal-title":"Neuron"},{"key":"1848_CR42","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1038\/nrn3578","volume":"14","author":"ER Kandel","year":"2013","unstructured":"Kandel, E. R., Markram, H., Matthews, P. M., Yuste, R. & Koch, C. Neuroscience thinks big (and collaboratively). Nat. Rev. Neurosci. 14, 659\u2013664 (2013).","journal-title":"Nat. Rev. Neurosci."},{"key":"1848_CR43","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.neuron.2016.06.012","volume":"91","author":"M Costa","year":"2016","unstructured":"Costa, M., Manton, J. D., Ostrovsky, A. D., Prohaska, S. & Jefferis, G. NBLAST: rapid, sensitive comparison of neuronal structure and construction of neuron family databases. Neuron 91, 293\u2013311 (2016).","journal-title":"Neuron"},{"key":"1848_CR44","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s12021-017-9341-1","volume":"16","author":"L Kanari","year":"2018","unstructured":"Kanari, L. et al. A topological representation of branching neuronal morphologies. Neuroinformatics 16, 3\u201313 (2018).","journal-title":"Neuroinformatics"},{"key":"1848_CR45","doi-asserted-by":"publisher","first-page":"1250","DOI":"10.1038\/nbt.3722","volume":"34","author":"E Meijering","year":"2016","unstructured":"Meijering, E., Carpenter, A. E., Peng, H., Hamprecht, F. A. & Olivo-Marin, J.-C. Imagining the future of bioimage analysis. Nat. Biotechnol. 34, 1250\u20131255 (2016).","journal-title":"Nat. Biotechnol."},{"key":"1848_CR46","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1038\/nrn.2017.85","volume":"18","author":"H Zeng","year":"2017","unstructured":"Zeng, H. & Sanes, J. R. Neuronal cell-type classification: challenges, opportunities and the path forward. Nat. Rev. Neurosci. 18, 530\u2013546 (2017).","journal-title":"Nat. Rev. Neurosci."},{"key":"1848_CR47","doi-asserted-by":"publisher","first-page":"1860","DOI":"10.1038\/nprot.2015.122","volume":"10","author":"JB Treweek","year":"2015","unstructured":"Treweek, J. B. et al. Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping. Nat. Protoc. 10, 1860\u20131896 (2015).","journal-title":"Nat. Protoc."},{"key":"1848_CR48","doi-asserted-by":"publisher","first-page":"2718","DOI":"10.1016\/j.celrep.2016.02.057","volume":"14","author":"M-T Ke","year":"2016","unstructured":"Ke, M.-T. et al. Super-resolution mapping of neuronal circuitry with an index-optimized clearing agent. Cell Rep. 14, 2718\u20132732 (2016).","journal-title":"Cell Rep."},{"key":"1848_CR49","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms12142","volume":"7","author":"H Gong","year":"2016","unstructured":"Gong, H. et al. High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level. Nat. Commun. 7, 12142 (2016).","journal-title":"Nat. Commun."},{"key":"1848_CR50","doi-asserted-by":"publisher","first-page":"e0182184","DOI":"10.1371\/journal.pone.0182184","volume":"12","author":"Y Li","year":"2017","unstructured":"Li, Y., Wang, D., Ascoli, G. A., Mitra, P. & Wang, Y. Metrics for comparing neuronal tree shapes based on persistent homology. PLoS One 12, e0182184 (2017).","journal-title":"PLoS One"},{"key":"1848_CR51","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.neures.2022.05.004","volume":"181","author":"B Ljungquist","year":"2022","unstructured":"Ljungquist, B., Akram, M. A. & Ascoli, G. A. Large scale similarity search across digital reconstructions of neural morphology. Neurosci. Res. 181, 39\u201345 (2022).","journal-title":"Neurosci. Res."},{"key":"1848_CR52","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-07619-7","volume":"9","author":"L Maier-Hein","year":"2018","unstructured":"Maier-Hein, L. et al. Why rankings of biomedical image analysis competitions should be interpreted with care. Nat. Commun. 9, 5217 (2018).","journal-title":"Nat. Commun."},{"key":"1848_CR53","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-09515-0","volume":"10","author":"R Li","year":"2019","unstructured":"Li, R. et al. Precise segmentation of densely interweaving neuron clusters using G-Cut. Nat. Commun. 10, 1549 (2019).","journal-title":"Nat. Commun."},{"key":"1848_CR54","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-11443-y","volume":"10","author":"Y Wang","year":"2019","unstructured":"Wang, Y. et al. TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain. Nat. Commun. 10, 3474 (2019).","journal-title":"Nat. Commun."},{"key":"1848_CR55","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.1109\/TMI.2017.2679713","volume":"36","author":"R Li","year":"2017","unstructured":"Li, R., Zeng, T., Peng, H. & Ji, S. Deep learning segmentation of optical microscopy images improves 3-D neuron reconstruction. IEEE Trans. Med. Imaging 36, 1533\u20131541 (2017).","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1848_CR56","doi-asserted-by":"publisher","first-page":"2441","DOI":"10.1109\/TMI.2018.2833420","volume":"37","author":"S Liu","year":"2018","unstructured":"Liu, S., Zhang, D., Song, Y., Peng, H. & Cai, W. Automated 3-D neuron tracing with precise branch erasing and confidence controlled back tracking. IEEE Trans. Med. Imaging 37, 2441\u20132452 (2018).","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1848_CR57","doi-asserted-by":"publisher","first-page":"601829","DOI":"10.3389\/fninf.2020.601829","volume":"14","author":"L Gu","year":"2020","unstructured":"Gu, L. et al. Semi-supervised learning in medical images through graph-embedded random forest. Front. Neuroinform. 14, 601829 (2020).","journal-title":"Front. Neuroinform."},{"key":"1848_CR58","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/s12021-018-9407-8","volume":"17","author":"M Radojevi\u0107","year":"2019","unstructured":"Radojevi\u0107, M. & Meijering, E. Automated neuron reconstruction from 3D fluorescence microscopy images using sequential Monte Carlo estimation. Neuroinformatics 17, 423\u2013442 (2019).","journal-title":"Neuroinformatics"},{"key":"1848_CR59","doi-asserted-by":"publisher","first-page":"9715","DOI":"10.1073\/pnas.0803697105","volume":"105","author":"BD Pfeiffer","year":"2008","unstructured":"Pfeiffer, B. D. et al. Tools for neuroanatomy and neurogenetics in Drosophila. Proc. Natl Acad. Sci. USA 105, 9715\u20139720 (2008).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"1848_CR60","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1007\/s00429-017-1541-9","volume":"223","author":"S Nanda","year":"2018","unstructured":"Nanda, S., Das, R., Bhattacharjee, S., Cox, D. N. & Ascoli, G. A. Morphological determinants of dendritic arborization neurons in Drosophila larva. Brain Struct. Funct. 223, 1107\u20131120 (2018).","journal-title":"Brain Struct. Funct."},{"key":"1848_CR61","doi-asserted-by":"publisher","first-page":"e795291","DOI":"10.1155\/2012\/795291","volume":"2012","author":"H Ikeno","year":"2012","unstructured":"Ikeno, H. et al. Development of a scheme and tools to construct a standard moth brain for neural network simulations. Comput. Intell. Neurosci. 2012, e795291 (2012).","journal-title":"Comput. Intell. Neurosci."},{"key":"1848_CR62","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1016\/j.neuron.2006.10.004","volume":"52","author":"JS Mumm","year":"2006","unstructured":"Mumm, J. S. et al. In vivo imaging reveals dendritic targeting of laminated afferents by zebrafish retinal ganglion cells. Neuron 52, 609\u2013621 (2006).","journal-title":"Neuron"},{"key":"1848_CR63","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms4699","volume":"5","author":"T Yoshimatsu","year":"2014","unstructured":"Yoshimatsu, T. et al. Transmission from the dominant input shapes the stereotypic ratio of photoreceptor inputs onto horizontal cells. Nat. Commun. 5, 3699 (2014).","journal-title":"Nat. Commun."},{"key":"1848_CR64","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.cub.2013.12.020","volume":"24","author":"A Bleckert","year":"2014","unstructured":"Bleckert, A., Schwartz, G. W., Turner, M. H., Rieke, F. & Wong, R. O. L. Visual space is represented by nonmatching topographies of distinct mouse retinal ganglion cell types. Curr. Biol. 24, 310\u2013315 (2014).","journal-title":"Curr. Biol."},{"key":"1848_CR65","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/j.neuron.2013.11.026","volume":"81","author":"S Druckmann","year":"2014","unstructured":"Druckmann, S. et al. Structured synaptic connectivity between hippocampal regions. Neuron 81, 629\u2013640 (2014).","journal-title":"Neuron"},{"key":"1848_CR66","doi-asserted-by":"publisher","first-page":"4854","DOI":"10.1093\/cercor\/bhv202","volume":"25","author":"A Pr\u00f6nneke","year":"2015","unstructured":"Pr\u00f6nneke, A. et al. Characterizing VIP neurons in the barrel cortex of VIPcre\/tdTomato mice reveals layer-specific differences. Cereb. Cortex 25, 4854\u20134868 (2015).","journal-title":"Cereb. Cortex"},{"key":"1848_CR67","doi-asserted-by":"publisher","first-page":"e62132","DOI":"10.1371\/journal.pone.0062132","volume":"8","author":"M Peter","year":"2013","unstructured":"Peter, M. et al. Transgenic mouse models enabling photolabeling of individual neurons in vivo. PLoS One 8, e62132 (2013).","journal-title":"PLoS One"},{"key":"1848_CR68","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.neulet.2015.02.043","volume":"591","author":"Y Gao","year":"2015","unstructured":"Gao, Y., Liu, L., Li, Q. & Wang, Y. Differential alterations in the morphology and electrophysiology of layer II pyramidal cells in the primary visual cortex of a mouse model prenatally exposed to LPS. Neurosci. Lett. 591, 138\u2013143 (2015).","journal-title":"Neurosci. Lett."},{"key":"1848_CR69","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s40708-017-0063-9","volume":"4","author":"H Chen","year":"2017","unstructured":"Chen, H. et al. Fast assembling of neuron fragments in serial 3D sections. Brain Inform. 4, 183\u2013186 (2017).","journal-title":"Brain Inform."},{"key":"1848_CR70","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fnana.2013.00015","volume":"7","author":"J Brito","year":"2013","unstructured":"Brito, J. et al. Neuronize: a tool for building realistic neuronal cell morphologies. Front. Neuroanat. 7, 15 (2013).","journal-title":"Front. Neuroanat."},{"key":"1848_CR71","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1038\/nn.3041","volume":"15","author":"Y Shi","year":"2012","unstructured":"Shi, Y., Kirwan, P., Smith, J., Robinson, H. P. C. & Livesey, F. J. Human cerebral cortex development from pluripotent stem cells to functional excitatory synapses. Nat. Neurosci. 15, 477\u2013486 (2012).","journal-title":"Nat. Neurosci."},{"key":"1848_CR72","doi-asserted-by":"publisher","first-page":"2107","DOI":"10.1002\/cne.23520","volume":"522","author":"Y Wang","year":"2014","unstructured":"Wang, Y. et al. Intense and specialized dendritic localization of the fragile X mental retardation protein in binaural brainstem neurons: a comparative study in the alligator, chicken, gerbil, and human. J. Comp. Neurol. 522, 2107\u20132128 (2014).","journal-title":"J. Comp. Neurol."},{"key":"1848_CR73","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1016\/j.neuron.2016.04.044","volume":"90","author":"H-Y He","year":"2016","unstructured":"He, H.-Y., Shen, W., Hiramoto, M. & Cline, H. T. Experience-dependent bimodal plasticity of inhibitory neurons in early development. Neuron 90, 1203\u20131214 (2016).","journal-title":"Neuron"},{"key":"1848_CR74","doi-asserted-by":"crossref","unstructured":"Bray, M.-A. & Carpenter, A. E. Quality control for high-throughput imaging experiments using machine learning in cellprofiler. In High Content Screening: A Powerful Approach to Systems Cell Biology and Phenotypic Drug Discovery (eds Johnston, P. A. & Trask, O. J.) 89\u2013112 (Springer, 2018).","DOI":"10.1007\/978-1-4939-7357-6_7"},{"key":"1848_CR75","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1037\/0021-9010.92.5.1189","volume":"92","author":"AC Homan","year":"2007","unstructured":"Homan, A. C., van Knippenberg, D., Van Kleef, G. A. & De Dreu, C. K. W. Bridging faultlines by valuing diversity: diversity beliefs, information elaboration, and performance in diverse work groups. J. Appl. Psychol. 92, 1189\u20131199 (2007).","journal-title":"J. Appl. Psychol."},{"key":"1848_CR76","doi-asserted-by":"publisher","first-page":"i239","DOI":"10.1093\/bioinformatics\/btr237","volume":"27","author":"H Peng","year":"2011","unstructured":"Peng, H., Long, F. & Myers, G. Automatic 3D neuron tracing using all-path pruning. Bioinformatics 27, i239\u2013i247 (2011).","journal-title":"Bioinformatics"},{"key":"1848_CR77","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s12021-018-9392-y","volume":"17","author":"J Yang","year":"2019","unstructured":"Yang, J. et al. FMST: an automatic neuron tracing method based on fast marching and minimum spanning tree. Neuroinformatics 17, 185\u2013196 (2019).","journal-title":"Neuroinformatics"},{"key":"1848_CR78","doi-asserted-by":"publisher","unstructured":"Gu, L. & Cheng, L. Learning to boost filamentary structure segmentation. In 2015 IEEE International Conference on Computer Vision (ICCV) 639\u2013647 (2015). https:\/\/doi.org\/10.1109\/ICCV.2015.80","DOI":"10.1109\/ICCV.2015.80"},{"key":"1848_CR79","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1186\/s12859-017-1597-9","volume":"18","author":"Z Wan","year":"2017","unstructured":"Wan, Z., He, Y., Hao, M., Yang, J. & Zhong, N. M-AMST: an automatic 3D neuron tracing method based on mean shift and adapted minimum spanning tree. BMC Bioinformatics 18, 197 (2017).","journal-title":"BMC Bioinformatics"},{"key":"1848_CR80","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.neuroimage.2013.10.036","volume":"87","author":"J Wu","year":"2014","unstructured":"Wu, J. et al. 3D BrainCV: simultaneous visualization and analysis of cells and capillaries in a whole mouse brain with one-micron voxel resolution. Neuroimage 87, 199\u2013208 (2014).","journal-title":"Neuroimage"},{"key":"1848_CR81","doi-asserted-by":"publisher","first-page":"e1002658","DOI":"10.1371\/journal.pcbi.1002658","volume":"8","author":"P-C Lee","year":"2012","unstructured":"Lee, P.-C., Chuang, C.-C., Chiang, A.-S. & Ching, Y.-T. High-throughput computer method for 3D neuronal structure reconstruction from the image stack of the Drosophila brain and its applications. PLoS Comput. Biol. 8, e1002658 (2012).","journal-title":"PLoS Comput. Biol."},{"key":"1848_CR82","doi-asserted-by":"publisher","DOI":"10.1038\/srep01414","volume":"3","author":"T Quan","year":"2013","unstructured":"Quan, T. et al. NeuroGPS: automated localization of neurons for brain circuits using L1 minimization model. Sci. Rep. 3, 1414 (2013).","journal-title":"Sci. Rep."},{"key":"1848_CR83","doi-asserted-by":"publisher","first-page":"101","DOI":"10.3389\/fncir.2018.00101","volume":"12","author":"T Zhao","year":"2018","unstructured":"Zhao, T., Olbris, D. J., Yu, Y. & Plaza, S. M. NeuTu: software for collaborative, large-scale, segmentation-based connectome reconstruction. Front. Neural Circuits 12, 101 (2018).","journal-title":"Front. Neural Circuits"},{"key":"1848_CR84","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s12021-011-9105-2","volume":"9","author":"E Bas","year":"2011","unstructured":"Bas, E. & Erdogmus, D. Principal curves as skeletons of tubular objects: locally characterizing the structures of axons. Neuroinformatics 9, 181\u2013191 (2011).","journal-title":"Neuroinformatics"},{"key":"1848_CR85","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TPAMI.2015.2462363","volume":"38","author":"A Sironi","year":"2016","unstructured":"Sironi, A., Turetken, E., Lepetit, V. & Fua, P. Multiscale centerline detection. IEEE Trans. Pattern Anal. Mach. Intell. 38, 1327\u20131341 (2016).","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1848_CR86","doi-asserted-by":"publisher","first-page":"i38","DOI":"10.1093\/bioinformatics\/btq212","volume":"26","author":"H Peng","year":"2010","unstructured":"Peng, H., Ruan, Z., Atasoy, D. & Sternson, S. Automatic reconstruction of 3D neuron structures using a graph-augmented deformable model. Bioinformatics 26, i38\u2013i46 (2010).","journal-title":"Bioinformatics"},{"key":"1848_CR87","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s12021-016-9302-0","volume":"14","author":"S Liu","year":"2016","unstructured":"Liu, S. et al. Rivulet: 3D neuron morphology tracing with iterative back-tracking. Neuroinformatics 14, 387\u2013401 (2016).","journal-title":"Neuroinformatics"},{"key":"1848_CR88","unstructured":"Minemoto, T. et al. SIGEN: system for reconstructing three-dimensional structure of insect neurons. In Proceedings of the Asia Simulation Conference, JSST2009, CDROM 1\u20136 (2009)."},{"key":"1848_CR89","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1186\/1471-2105-14-93","volume":"14","author":"J Yang","year":"2013","unstructured":"Yang, J., Gonzalez-Bellido, P. T. & Peng, H. A distance-field based automatic neuron tracing method. BMC Bioinformatics 14, 93 (2013).","journal-title":"BMC Bioinformatics"},{"key":"1848_CR90","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s40708-015-0018-y","volume":"2","author":"H Chen","year":"2015","unstructured":"Chen, H., Xiao, H., Liu, T. & Peng, H. SmartTracing: self-learning-based neuron reconstruction. Brain Inform. 2, 135\u2013144 (2015).","journal-title":"Brain Inform."},{"key":"1848_CR91","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s12021-015-9278-1","volume":"14","author":"Z Zhou","year":"2016","unstructured":"Zhou, Z., Liu, X., Long, B. & Peng, H. TReMAP: automatic 3D neuron reconstruction based on tracing, reverse mapping and assembling of 2D projections. Neuroinformatics 14, 41\u201350 (2016).","journal-title":"Neuroinformatics"},{"key":"1848_CR92","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1002\/j.1538-7305.1957.tb01515.x","volume":"36","author":"RC Prim","year":"1957","unstructured":"Prim, R. C. Shortest connection networks and some generalizations. The Bell System Technical Journal 36, 1389\u20131401 (1957).","journal-title":"The Bell System Technical Journal"},{"key":"1848_CR93","doi-asserted-by":"publisher","unstructured":"Manubens-Gil, L. BigNeuron fMOST showcase image data. https:\/\/doi.org\/10.5281\/zenodo.7556104 (2023).","DOI":"10.5281\/zenodo.7556104"},{"key":"1848_CR94","doi-asserted-by":"publisher","unstructured":"Manubens-Gil, L. lmanubens\/BigNeuron: BigNeuron Shiny app v1.0.0 code base. https:\/\/doi.org\/10.5281\/ZENODO.7556112 (2023).","DOI":"10.5281\/ZENODO.7556112"}],"updated-by":[{"DOI":"10.1038\/s41592-024-02395-3","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T00:00:00Z","timestamp":1722556800000}}],"container-title":["Nature Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41592-023-01848-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41592-023-01848-5","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41592-023-01848-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T03:05:34Z","timestamp":1722567934000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41592-023-01848-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,17]]},"references-count":94,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["1848"],"URL":"https:\/\/doi.org\/10.1038\/s41592-023-01848-5","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.05.10.491406","asserted-by":"object"}]},"ISSN":["1548-7091","1548-7105"],"issn-type":[{"value":"1548-7091","type":"print"},{"value":"1548-7105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,17]]},"assertion":[{"value":"10 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 April 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 August 2024","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1038\/s41592-024-02395-3","URL":"https:\/\/doi.org\/10.1038\/s41592-024-02395-3","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Z.Z. is employed by Microsoft. The company did not influence the research. H.C. and J. Yao are employed by Tencent AI Lab. Tencent provides the initial hosting of the Shiny website. The company does not expect to benefit financially. X. Liu is employed by Kaya Medical. The company did not influence the research. M.R. is employed by Nuctech. The company did not influence the research. S.L. is employed by Paige AI. The company did not influence the research. A.S. is employed by PROPHESEE. The company did not influence the research. E.B. is employed by AWS AI. The company did not influence the research. All other authors have no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}