{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T23:23:20Z","timestamp":1773185000642,"version":"3.50.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:00:00Z","timestamp":1653868800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:00:00Z","timestamp":1653868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nat Mach Intell"],"DOI":"10.1038\/s42256-022-00490-8","type":"journal-article","created":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T12:03:50Z","timestamp":1653912230000},"page":"583-595","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Trans-channel fluorescence learning improves high-content screening for Alzheimer\u2019s disease therapeutics"],"prefix":"10.1038","volume":"4","author":[{"given":"Daniel R.","family":"Wong","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9048-8833","authenticated-orcid":false,"given":"Jay","family":"Conrad","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0969-0066","authenticated-orcid":false,"given":"Noah R.","family":"Johnson","sequence":"additional","affiliation":[]},{"given":"Jacob","family":"Ayers","sequence":"additional","affiliation":[]},{"given":"Annelies","family":"Laeremans","sequence":"additional","affiliation":[]},{"given":"Joanne C.","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Jisoo","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Stanley B.","family":"Prusiner","sequence":"additional","affiliation":[]},{"given":"Sourav","family":"Bandyopadhyay","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7433-2740","authenticated-orcid":false,"given":"Atul J.","family":"Butte","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5742-4056","authenticated-orcid":false,"given":"Nick A.","family":"Paras","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1240-2192","authenticated-orcid":false,"given":"Michael J.","family":"Keiser","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,30]]},"reference":[{"key":"490_CR1","doi-asserted-by":"publisher","unstructured":"Li, Z., Cvijic, M. E. & Zhang, L. in Comprehensive Medicinal Chemistry III (eds Chackalamannil, S., Rotella, D. & Ward, S. E.) 362\u2013387 (Elsevier, 2017); https:\/\/doi.org\/10.1016\/B978-0-12-409547-2.12328-5","DOI":"10.1016\/B978-0-12-409547-2.12328-5"},{"key":"490_CR2","doi-asserted-by":"publisher","first-page":"411","DOI":"10.4132\/jptm.2016.08.08","volume":"50","author":"S-W Kim","year":"2016","unstructured":"Kim, S.-W., Roh, J. & Park, C.-S. Immunohistochemistry for pathologists: protocols, pitfalls and tips. J. Pathol. Transl. Med. 50, 411\u2013418 (2016).","journal-title":"J. Pathol. Transl. Med."},{"key":"490_CR3","doi-asserted-by":"publisher","unstructured":"Cardoso, M. C. in Encyclopedic Reference of Genomics and Proteomics in Molecular Medicine 583\u2013586 (Springer, 2006); https:\/\/doi.org\/10.1007\/3-540-29623-9_5560","DOI":"10.1007\/3-540-29623-9_5560"},{"key":"490_CR4","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1080\/1061186X.2018.1474361","volume":"27","author":"K Lao","year":"2019","unstructured":"Lao, K. et al. Drug development for Alzheimer\u2019s disease. J. Drug Target. 27, 164\u2013173 (2019).","journal-title":"J. Drug Target."},{"key":"490_CR5","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.trci.2019.05.008","volume":"5","author":"J Cummings","year":"2019","unstructured":"Cummings, J., Lee, G., Ritter, A., Sabbagh, M. & Zhong, K. Alzheimer\u2019s disease drug development pipeline: 2019. Alzheimers Dement. 5, 272\u2013293 (2019).","journal-title":"Alzheimers Dement."},{"key":"490_CR6","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1038\/nrneurol.2015.225","volume":"12","author":"K Iqbal","year":"2016","unstructured":"Iqbal, K., Liu, F. & Gong, C.-X. Tau and neurodegenerative disease: the story so far. Nat. Rev. Neurol. 12, 15\u201327 (2016).","journal-title":"Nat. Rev. Neurol."},{"key":"490_CR7","doi-asserted-by":"publisher","first-page":"31755","DOI":"10.1074\/jbc.M705282200","volume":"282","author":"K Eckermann","year":"2007","unstructured":"Eckermann, K. et al. The \u03b2-propensity of tau determines aggregation and synaptic loss in inducible mouse models of tauopathy. J. Biol. Chem. 282, 31755\u201331765 (2007).","journal-title":"J. Biol. Chem."},{"key":"490_CR8","doi-asserted-by":"publisher","first-page":"3587","DOI":"10.1093\/hmg\/dds190","volume":"21","author":"C Fatouros","year":"2012","unstructured":"Fatouros, C. et al. Inhibition of tau aggregation in a novel Caenorhabditis elegans model of tauopathy mitigates proteotoxicity. Hum. Mol. Genet. 21, 3587\u20133603 (2012).","journal-title":"Hum. Mol. Genet."},{"key":"490_CR9","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.tins.2010.04.003","volume":"33","author":"M Goedert","year":"2010","unstructured":"Goedert, M., Clavaguera, F. & Tolnay, M. The propagation of prion-like protein inclusions in neurodegenerative diseases. Trends Neurosci. 33, 317\u2013325 (2010).","journal-title":"Trends Neurosci."},{"key":"490_CR10","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1038\/nature12481","volume":"501","author":"M Jucker","year":"2013","unstructured":"Jucker, M. & Walker, L. C. Self-propagation of pathogenic protein aggregates in neurodegenerative diseases. Nature 501, 45\u201351 (2013).","journal-title":"Nature"},{"key":"490_CR11","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1038\/ncb1901","volume":"11","author":"F Clavaguera","year":"2009","unstructured":"Clavaguera, F. et al. Transmission and spreading of tauopathy in transgenic mouse brain. Nat. Cell Biol. 11, 909\u2013913 (2009).","journal-title":"Nat. Cell Biol."},{"key":"490_CR12","doi-asserted-by":"publisher","first-page":"eaat8462","DOI":"10.1126\/scitranslmed.aat8462","volume":"11","author":"A Aoyagi","year":"2019","unstructured":"Aoyagi, A. et al. A\u03b2 and tau prion-like activities decline with longevity in the Alzheimer\u2019s disease human brain. Sci. Transl. Med. 11, eaat8462 (2019).","journal-title":"Sci. Transl. Med."},{"key":"490_CR13","doi-asserted-by":"publisher","first-page":"1271","DOI":"10.1016\/j.neuron.2014.04.047","volume":"82","author":"DW Sanders","year":"2014","unstructured":"Sanders, D. W. et al. Distinct tau prion strains propagate in cells and mice and define different tauopathies. Neuron 82, 1271\u20131288 (2014).","journal-title":"Neuron"},{"key":"490_CR14","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1523\/JNEUROSCI.3542-15.2016","volume":"36","author":"SJ Jackson","year":"2016","unstructured":"Jackson, S. J. et al. Short fibrils constitute the major species of seed-competent tau in the brains of mice transgenic for human P301S tau. J. Neurosci. 36, 762\u2013772 (2016).","journal-title":"J. Neurosci."},{"key":"490_CR15","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/s00401-016-1644-z","volume":"133","author":"JL Furman","year":"2017","unstructured":"Furman, J. L. et al. Widespread tau seeding activity at early Braak stages. Acta Neuropathol. 133, 91\u2013100 (2017).","journal-title":"Acta Neuropathol."},{"key":"490_CR16","doi-asserted-by":"publisher","first-page":"9080","DOI":"10.1073\/pnas.1708448114","volume":"114","author":"C Despres","year":"2017","unstructured":"Despres, C. et al. Identification of the tau phosphorylation pattern that drives its aggregation. Proc. Natl. Acad. Sci. USA 114, 9080\u20139085 (2017).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"490_CR17","doi-asserted-by":"crossref","unstructured":"Lai, R., Harrington, C. & Wischik, C. Absence of a role for phosphorylation in the tau pathology of Alzheimer\u2019s disease. Biomolecules 6, 19 (2016); erratum 6, 35 (2016).","DOI":"10.3390\/biom6030035"},{"key":"490_CR18","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1038\/383550a0","volume":"383","author":"M Goedert","year":"1996","unstructured":"Goedert, M. et al. Assembly of microtubule-associated protein tau into Alzheimer-like filaments induced by sulphated glycosaminoglycans. Nature 383, 550\u2013553 (1996).","journal-title":"Nature"},{"key":"490_CR19","doi-asserted-by":"publisher","first-page":"4913","DOI":"10.1073\/pnas.83.13.4913","volume":"83","author":"I Grundke-Iqbal","year":"1986","unstructured":"Grundke-Iqbal, I. et al. Abnormal phosphorylation of the microtubule-associated protein \u03c4 (tau) in Alzheimer cytoskeletal pathology. Proc. Natl. Acad. Sci. USA 83, 4913\u20134917 (1986).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"490_CR20","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1006\/abbi.1998.0813","volume":"357","author":"A Sengupta","year":"1998","unstructured":"Sengupta, A. et al. Phosphorylation of tau at both Thr 231 and Ser 262 is required for maximal inhibition of its binding to microtubules. Arch. Biochem. Biophys. 357, 299\u2013309 (1998).","journal-title":"Arch. Biochem. Biophys."},{"key":"490_CR21","doi-asserted-by":"publisher","first-page":"5562","DOI":"10.1073\/pnas.91.12.5562","volume":"91","author":"AC Alonso","year":"1994","unstructured":"Alonso, A. C., Zaidi, T., Grundke-Iqbal, I. & Iqbal, K. Role of abnormally phosphorylated tau in the breakdown of microtubules in Alzheimer disease. Proc. Natl. Acad. Sci. USA 91, 5562\u20135566 (1994).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"490_CR22","doi-asserted-by":"publisher","first-page":"5301","DOI":"10.1016\/S0021-9258(17)42989-9","volume":"259","author":"G Lindwall","year":"1984","unstructured":"Lindwall, G. & Cole, R. D. Phosphorylation affects the ability of tau protein to promote microtubule assembly. J. Biol. Chem. 259, 5301\u20135305 (1984).","journal-title":"J. Biol. Chem."},{"key":"490_CR23","doi-asserted-by":"publisher","first-page":"5721","DOI":"10.1242\/jcs.01558","volume":"117","author":"GVW Johnson","year":"2004","unstructured":"Johnson, G. V. W. & Stoothoff, W. H. Tau phosphorylation in neuronal cell function and dysfunction. J. Cell Sci. 117, 5721\u20135729 (2004).","journal-title":"J. Cell Sci."},{"key":"490_CR24","doi-asserted-by":"publisher","first-page":"2321","DOI":"10.2174\/092986708785909111","volume":"15","author":"C-X Gong","year":"2008","unstructured":"Gong, C.-X. & Iqbal, K. Hyperphosphorylation of microtubule-associated protein tau: a promising therapeutic target for Alzheimer disease. Curr. Med. Chem. 15, 2321\u20132328 (2008).","journal-title":"Curr. Med. Chem."},{"key":"490_CR25","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1021\/acsmedchemlett.9b00480","volume":"11","author":"J-MM Grandjean","year":"2020","unstructured":"Grandjean, J.-M. M. et al. Discovery of 4-piperazine isoquinoline derivatives as potent and brain-permeable tau prion inhibitors with CDK8 activity. ACS Med. Chem. Lett. 11, 127\u2013132 (2020).","journal-title":"ACS Med. Chem. Lett."},{"key":"490_CR26","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1091\/mbc.6.10.1397","volume":"6","author":"U Preuss","year":"1995","unstructured":"Preuss, U., D\u00f6ring, F., Illenberger, S. & Mandelkow, E. M. Cell cycle-dependent phosphorylation and microtubule binding of tau protein stably transfected into Chinese hamster ovary cells. Mol. Biol. Cell 6, 1397\u20131410 (1995).","journal-title":"Mol. Biol. Cell"},{"key":"490_CR27","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1002\/prot.24988","volume":"84","author":"TJ Malia","year":"2016","unstructured":"Malia, T. J. et al. Epitope mapping and structural basis for the recognition of phosphorylated tau by the anti-tau antibody AT8. Proteins 84, 427\u2013434 (2016).","journal-title":"Proteins"},{"key":"490_CR28","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/0304-3940(95)11484-E","volume":"189","author":"M Goedert","year":"1995","unstructured":"Goedert, M., Jakes, R. & Vanmechelen, E. Monoclonal antibody AT8 recognises tau protein phosphorylated at both serine 202 and threonine 205. Neurosci. Lett. 189, 167\u2013169 (1995).","journal-title":"Neurosci. Lett."},{"key":"490_CR29","doi-asserted-by":"publisher","first-page":"e75025","DOI":"10.1371\/journal.pone.0075025","volume":"8","author":"V Duka","year":"2013","unstructured":"Duka, V. et al. Identification of the sites of tau hyperphosphorylation and activation of tau kinases in synucleinopathies and Alzheimer\u2019s diseases. PLoS ONE 8, e75025 (2013).","journal-title":"PLoS ONE"},{"key":"490_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/ar.22554","volume":"296","author":"EC Jensen","year":"2013","unstructured":"Jensen, E. C. Overview of live-cell imaging: requirements and methods used. Anat. Rec. 296, 1\u20138 (2013).","journal-title":"Anat. Rec."},{"key":"490_CR31","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1002\/wsbm.108","volume":"3","author":"M-H Sung","year":"2011","unstructured":"Sung, M.-H. & McNally, J. G. Live cell imaging and systems biology. Wiley Interdiscip. Rev. Syst. Biol. Med. 3, 167\u2013182 (2011).","journal-title":"Wiley Interdiscip. Rev. Syst. Biol. Med."},{"key":"490_CR32","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1016\/j.stemcr.2017.08.019","volume":"9","author":"C Wang","year":"2017","unstructured":"Wang, C. et al. Scalable production of iPSC-derived human neurons to identify tau-lowering compounds by high-content screening. Stem Cell Rep. 9, 1221\u20131233 (2017).","journal-title":"Stem Cell Rep."},{"key":"490_CR33","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1186\/1471-2164-11-25","volume":"11","author":"DO Azorsa","year":"2010","unstructured":"Azorsa, D. O. et al. High-content siRNA screening of the kinome identifies kinases involved in Alzheimer\u2019s disease-related tau hyperphosphorylation. BMC Genomics 11, 25 (2010).","journal-title":"BMC Genomics"},{"key":"490_CR34","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.jneumeth.2015.03.017","volume":"247","author":"PJ Narayan","year":"2015","unstructured":"Narayan, P. J. et al. Assessing fibrinogen extravasation into Alzheimer\u2019s disease brain using high-content screening of brain tissue microarrays. J. Neurosci. Methods 247, 41\u201349 (2015).","journal-title":"J. Neurosci. Methods"},{"key":"490_CR35","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1002\/med.21764","volume":"41","author":"S Vatansever","year":"2021","unstructured":"Vatansever, S. et al. Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: state-of-the-arts and future directions. Med. Res. Rev. 41, 1427\u20131473 (2021).","journal-title":"Med. Res. Rev."},{"key":"490_CR36","doi-asserted-by":"publisher","first-page":"e2011250118","DOI":"10.1073\/pnas.2011250118","volume":"118","author":"S-H Kim","year":"2021","unstructured":"Kim, S.-H. et al. Prediction of Alzheimer\u2019s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening. Proc. Natl. Acad. Sci. USA 118, e2011250118 (2021).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"490_CR37","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.2174\/092986711795029681","volume":"18","author":"A,J Bermudez-Lugo","year":"2011","unstructured":"Bermudez-Lugo, A, J., Rosales-Hernandez, M. C., Deeb, O., Trujillo-Ferrara, J. & Correa-Basurto, J. In silico methods to assist drug developers in acetylcholinesterase inhibitor design. Curr. Med. Chem. 18, 1122\u20131136 (2011).","journal-title":"Curr. Med. Chem."},{"key":"490_CR38","doi-asserted-by":"publisher","unstructured":"Basile, L. in Computational Modeling of Drugs Against Alzheimer\u2019s Disease (ed. Roy, K.) 107\u2013137 (Humana Press, 2018); https:\/\/doi.org\/10.1007\/978-1-4939-7404-7_4","DOI":"10.1007\/978-1-4939-7404-7_4"},{"key":"490_CR39","doi-asserted-by":"publisher","first-page":"3347","DOI":"10.2174\/1381612824666180607124038","volume":"24","author":"KA Carpenter","year":"2018","unstructured":"Carpenter, K. A. & Huang, X. Machine learning-based virtual screening and its applications to Alzheimer\u2019s drug discovery: a review. Curr. Pharm. Des. 24, 3347\u20133358 (2018).","journal-title":"Curr. Pharm. Des."},{"key":"490_CR40","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1016\/j.cell.2018.03.040","volume":"173","author":"EM Christiansen","year":"2018","unstructured":"Christiansen, E. M. et al. In silico labeling: predicting fluorescent labels in unlabeled images. Cell 173, 792\u2013803 (2018).","journal-title":"Cell"},{"key":"490_CR41","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1038\/s41592-018-0111-2","volume":"15","author":"C Ounkomol","year":"2018","unstructured":"Ounkomol, C., Seshamani, S., Maleckar, M. M., Collman, F. & Johnson, G. R. Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy. Nat. Methods 15, 917\u2013920 (2018).","journal-title":"Nat. Methods"},{"key":"490_CR42","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1038\/s41592-019-0403-1","volume":"16","author":"E Moen","year":"2019","unstructured":"Moen, E. et al. Deep learning for cellular image analysis. Nat. Methods 16, 1233\u20131246 (2019).","journal-title":"Nat. Methods"},{"key":"490_CR43","doi-asserted-by":"publisher","unstructured":"Ronneberger, O., Fischer, P. & Brox, T. U-Net: convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science (ed. Navab, N., et al.) 9351. (Springer, Cham, 2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"490_CR44","doi-asserted-by":"crossref","unstructured":"Liu, G. et al. Image inpainting for irregular holes using partial convolutions. In Proc. European Conference on Computer Vision (ECCV) 85\u2013100 (Springer, 2018).","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"490_CR45","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1038\/nmeth.4397","volume":"14","author":"JC Caicedo","year":"2017","unstructured":"Caicedo, J. C. et al. Data-analysis strategies for image-based cell profiling. Nat. Methods 14, 849\u2013863 (2017).","journal-title":"Nat. Methods"},{"key":"490_CR46","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1111\/j.1476-5381.2010.01127.x","volume":"162","author":"JP Hughes","year":"2011","unstructured":"Hughes, J. P., Rees, S., Kalindjian, S. B. & Philpott, K. L. Principles of early drug discovery. Br. J. Pharmacol. 162, 1239\u20131249 (2011).","journal-title":"Br. J. Pharmacol."},{"key":"490_CR47","doi-asserted-by":"publisher","first-page":"6789","DOI":"10.1021\/jm0608356","volume":"49","author":"N Huang","year":"2006","unstructured":"Huang, N., Shoichet, B. K. & Irwin, J. J. Benchmarking sets for molecular docking. J. Med. Chem. 49, 6789\u20136801 (2006).","journal-title":"J. Med. Chem."},{"key":"490_CR48","doi-asserted-by":"publisher","first-page":"R100","DOI":"10.1186\/gb-2006-7-10-r100","volume":"7","author":"AE Carpenter","year":"2006","unstructured":"Carpenter, A. E. et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol. 7, R100 (2006).","journal-title":"Genome Biol."},{"key":"490_CR49","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1111\/acel.12588","volume":"16","author":"E M\u00fcllers","year":"2017","unstructured":"M\u00fcllers, E., Cascales, H. S., Burdova, K., Macurek, L. & Lindqvist, A. Residual Cdk1\/2 activity after DNA damage promotes senescence. Aging Cell 16, 575\u2013584 (2017).","journal-title":"Aging Cell"},{"key":"490_CR50","doi-asserted-by":"publisher","first-page":"eaat8603","DOI":"10.1126\/science.aat8603","volume":"362","author":"KV Chuang","year":"2018","unstructured":"Chuang, K. V. & Keiser, M. J. Comment on \u2018Predicting reaction performance in C-N cross-coupling using machine learning\u2019. Science 362, eaat8603 (2018).","journal-title":"Science"},{"key":"490_CR51","doi-asserted-by":"publisher","unstructured":"Soekhoe, D., van der Putten, P. & Plaat, A. in Advances in Intelligent Data Analysis XV (ed. Bostr\u00f6m, H., et al.) 50\u201360 (Springer, 2016); https:\/\/doi.org\/10.1007\/978-3-319-46349-0_5","DOI":"10.1007\/978-3-319-46349-0_5"},{"key":"490_CR52","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1038\/nmeth.4326","volume":"14","author":"E Williams","year":"2017","unstructured":"Williams, E. et al. Image Data Resource: a bioimage data integration and publication platform. Nat. Methods 14, 775\u2013781 (2017).","journal-title":"Nat. Methods"},{"key":"490_CR53","doi-asserted-by":"publisher","first-page":"9340","DOI":"10.1523\/JNEUROSCI.22-21-09340.2002","volume":"22","author":"B Allen","year":"2002","unstructured":"Allen, B. et al. Abundant tau filaments and nonapoptotic neurodegeneration in transgenic mice expressing human P301S tau protein. J. Neurosci. 22, 9340\u20139351 (2002).","journal-title":"J. Neurosci."},{"key":"490_CR54","doi-asserted-by":"publisher","first-page":"13802","DOI":"10.1021\/ja055219y","volume":"127","author":"IS Lee","year":"2005","unstructured":"Lee, I. S., Long, J. R., Prusiner, S. B. & Safar, J. G. Selective precipitation of prions by polyoxometalate complexes. J. Am. Chem. Soc. 127, 13802\u201313803 (2005).","journal-title":"J. Am. Chem. Soc."},{"key":"490_CR55","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1021\/acschemneuro.6b00029","volume":"7","author":"TT Wager","year":"2016","unstructured":"Wager, T. T., Hou, X., Verhoest, P. R. & Villalobos, A. Central nervous system multiparameter optimization desirability: application in drug discovery. ACS Chem. Neurosci. 7, 767\u2013775 (2016).","journal-title":"ACS Chem. Neurosci."},{"key":"490_CR56","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1021\/cn100008c","volume":"1","author":"TT Wager","year":"2010","unstructured":"Wager, T. T., Hou, X., Verhoest, P. R. & Villalobos, A. Moving beyond rules: the development of a central nervous system multiparameter optimization (CNS MPO) approach to enable alignment of druglike properties. ACS Chem. Neurosci. 1, 435\u2013449 (2010).","journal-title":"ACS Chem. Neurosci."},{"key":"490_CR57","doi-asserted-by":"publisher","first-page":"1757","DOI":"10.1038\/nprot.2016.105","volume":"11","author":"M-A Bray","year":"2016","unstructured":"Bray, M.-A. et al. Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes. Nat. Protoc. 11, 1757\u20131774 (2016).","journal-title":"Nat. Protoc."},{"key":"490_CR58","doi-asserted-by":"publisher","unstructured":"Wong, D. & Keiser, M. Trans-channel Fluorescence Learning (OSFHOME, 2020); https:\/\/doi.org\/10.17605\/OSF.IO\/XNTD6","DOI":"10.17605\/OSF.IO\/XNTD6"},{"key":"490_CR59","doi-asserted-by":"publisher","unstructured":"Keiser, M. keiserlab\/trans-channel-paper: v1.0.0 (Zenodo, 2022); https:\/\/doi.org\/10.5281\/zenodo.6336183","DOI":"10.5281\/zenodo.6336183"}],"container-title":["Nature Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s42256-022-00490-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42256-022-00490-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42256-022-00490-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T04:32:06Z","timestamp":1669350726000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s42256-022-00490-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,30]]},"references-count":59,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022,6]]}},"alternative-id":["490"],"URL":"https:\/\/doi.org\/10.1038\/s42256-022-00490-8","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2021.01.08.425973","asserted-by":"object"}]},"ISSN":["2522-5839"],"issn-type":[{"value":"2522-5839","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,30]]},"assertion":[{"value":"5 October 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests. S.B.P. is a member of the Scientific Advisory Board of ViewPoint Therapeutics and a member of the Board of Directors of Trizell, Ltd, neither of which have contributed financial or any other support to the studies discussed here.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}