pith. sign in

Recoverable Identifier

arXiv:2604.20615 · detector doi_compliance · incontrovertible · 2026-05-20 01:46:14.408483+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1091/mbc.E20-03-0187.Netzer) was visible in the surrounding text but could not be confirmed against doi.org as printed.

Paper page Integrity report arXiv Try DOI

Evidence text

Adaptive scans allow targeted cell-ablations on curved cell sheets. bioRxiv , 2022.01.30.478374doi:10. 1101/2022.01.30.478374. Moen, E., Bannon, D., Kudo, T., Graf, W., Covert, M., Van Valen, D., 2019. Deep learning for cellular image analysis. Nat Methods 16, 1233–1246. doi:10.1038/ s41592-019-0403-1. Nagao, Y., Sakamoto, M., Chinen, T., Okada, Y., Takao, D., 2020. Robust classification of cell cycle phase and biological feature extraction by image-based deep learn- ing. Mol Biol Cell 31, 1346–1354. doi:10.1091/mbc. E20-03-0187. Netzer, Y., Wang, T., Coates, A., Bissacco, A., Wu, B., Ng, A., 2011. Reading digits in natural images with unsupervised feature learning. NIPS . Neumann, B., Walter, T., Heriche, J.K., Bulkescher, J., Erfle, H., Conrad, C., Rogers, P., Poser, I., Held, M., Liebel, U., Cetin, C., Sieckmann, F., Pau, G., Kabbe, R., Wunsche, A., Satagopam, V., Schmitz, M.H., Cha- puis, C., Gerlich, D.W., Schneider, R., Eils, R., Huber, W., Peters, J.M., Hyman, A.A., Durbin, R., Pepperkok, R., Ellenberg, J., 2010. Phenotypic profiling of the hu- man genome by time-lapse microscopy reveals cell divi- sion genes. Nature 464, 721–7. doi:nature08869[pii] 10.1038/nature08869. Nguyen, P., Chien, S., Dai, J., Monnat, R. J., J., Becker, P.S., Kueh, H.Y., 2021. Unsupervised discovery of dynamic cell phenotypic states from transmitted light movies. PLoS Comput Biol 17, e1009626. doi:10.1371/ journal.pcbi.1009626. Odena, A., 2016. Semi-supervised learning with generative adversari

Evidence payload

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  "printed_excerpt": "Adaptive scans allow targeted cell-ablations on curved cell sheets. bioRxiv , 2022.01.30.478374doi:10. 1101/2022.01.30.478374. Moen, E., Bannon, D., Kudo, T., Graf, W., Covert, M., Van Valen, D., 2019. Deep learning for cellular image analy",
  "reconstructed_doi": "10.1091/mbc.E20-03-0187.Netzer",
  "ref_index": 10,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}