{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T14:14:34Z","timestamp":1784556874539,"version":"3.55.0"},"reference-count":20,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T00:00:00Z","timestamp":1778630400000},"content-version":"vor","delay-in-days":12,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biotechnology Journal"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Chinese hamster ovary (CHO) cells serve as the backbone of modern large\u2010scale manufacturing of monoclonal antibodies. Central to this process are fed\u2010batch cultures, where cells are grown from low to high cell densities and go through a mAb production phase. Despite CHO cells' widespread usage and vital role in the production of biologics, the cellular states during fed\u2010batch coinciding with high specific productivity and apoptosis are poorly understood. Crucial to this understanding is a clear depiction of the various subpopulations of cells that exist in a fed\u2010batch culture over time. In this work, an Ovizio iLine F PRO was used to image the cells in benchtop bioreactors and gather morphological and optical information for several CHO cell lines. A cluster analysis was applied to the Ovizio iLine F PRO raw data, revealing a diverse set of cellular sub\u2010populations within each culture. Raw data from the Ovizio were then transformed into tank\u2010level data and applied to offline measurements for viability and apoptosis in regression analysis. We used the results from the cluster analysis and feature averaging to set up regressions for offline measurements. Our regression analysis illustrates the power of in\u2010line imaging of CHO cells as a rich process analytical tool.<\/jats:p>","DOI":"10.1002\/biot.70231","type":"journal-article","created":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T10:47:28Z","timestamp":1778669248000},"source":"Crossref","is-referenced-by-count":0,"title":["Regression Models of Viability and Apoptosis Can be Generated Leveraging Cluster Analysis From Ovizio iLineF PRO Image Data"],"prefix":"10.1002","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2580-0392","authenticated-orcid":false,"given":"Joseph","family":"Fantuzzo","sequence":"first","affiliation":[{"name":"Biologics Process Development, MRL Merck &amp; Co., Inc.  Rahway New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas","family":"Zill","sequence":"additional","affiliation":[{"name":"Data Rich Experimentation, Enabling Technologies, MRL Merck &amp; Co., Inc.  Rahway New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Bowers","sequence":"additional","affiliation":[{"name":"Data Rich Experimentation, Enabling Technologies, MRL Merck &amp; Co., Inc.  Rahway New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Balrina","family":"Gupta","sequence":"additional","affiliation":[{"name":"Biologics Process Development, MRL Merck &amp; Co., Inc.  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(2016).Predicting clusters for new points Retrieved 9\/5\/2025 fromhttps:\/\/hdbscan.readthedocs.io\/en\/latest\/prediction_tutorial.html."},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42452\u2010021\u201004148\u20109"}],"container-title":["Biotechnology Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/analyticalsciencejournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/biot.70231","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/analyticalsciencejournals.onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/biot.70231","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/analyticalsciencejournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/biot.70231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T13:22:02Z","timestamp":1784553722000},"score":1,"resource":{"primary":{"URL":"https:\/\/analyticalsciencejournals.onlinelibrary.wiley.com\/doi\/10.1002\/biot.70231"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":20,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["10.1002\/biot.70231"],"URL":"https:\/\/doi.org\/10.1002\/biot.70231","archive":["Portico"],"relation":{},"ISSN":["1860-6768","1860-7314"],"issn-type":[{"value":"1860-6768","type":"print"},{"value":"1860-7314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]},"article-number":"e70231"}}