{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T17:09:00Z","timestamp":1785431340705,"version":"3.56.0"},"posted":{"date-parts":[[2026,6,20]]},"reference-count":56,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T00:00:00Z","timestamp":1781913600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"id":[{"id":"https:\/\/ror.org\/001d55x84","id-type":"ROR","asserted-by":"publisher"}]},{"name":"The Glenn Foundation For Medical Research"},{"name":"Hevolution\/AFAR"},{"name":"Hevolution"},{"name":"The National Science Foundation Graduate Research Fellowships Program"},{"name":"SenNet Common Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,6,20]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>\n                  Senescent cells accumulate with age and contribute to tissue dysfunction, yet their identification in tissues is challenging due to low abundance, heterogeneous phenotypes, and the lack of specific markers. Senescence-associated features span multiple subcellular compartments, including nuclear DNA damage foci, cytosolic protein changes, and perinuclear alterations, each requiring tailored detection strategies. To overcome these challenges, we developed SenoQuant (\n                  <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/HaamsRee\/senoquant\">https:\/\/github.com\/HaamsRee\/senoquant<\/jats:ext-link>\n                  ), a versatile software designed for comprehensive, accurate, and unbiased spatial quantification and prediction of senescence markers across diverse tissue contexts. Utilizing AI models, SenoQuant enables precise nuclear and cytoplasmic segmentation and detection of senescence markers across low- and high-plex imaging modalities, applicable to cultured cells and tissue sections from mice and humans. The platform also supports custom AI models; for example, we built SenCeption, a proof-of-concept predictor of single-cell p21 status from DAPI-stained nuclei in human skin. Available as a free napari plugin, SenoQuant is widely accessible to researchers. By providing a unified approach to senescence analysis and prediction, SenoQuant opens new opportunities for exploring the complex biology of senescence and its impacts on aging and disease.\n                <\/jats:p>","DOI":"10.64898\/2026.06.18.733222","type":"posted-content","created":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T11:25:15Z","timestamp":1782041115000},"source":"Crossref","is-referenced-by-count":0,"title":["SenoQuant: One-stop AI software for senescence marker analysis and prediction"],"prefix":"10.64898","author":[{"given":"Anthony B.","family":"Lagnado","sequence":"first","affiliation":[{"name":"Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA"},{"name":"Robert and Arlene Kogod Center on Aging, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA"},{"name":"Robert and Arlene Kogod Center on Aging, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chibuzo C.","family":"Nwakama","sequence":"additional","affiliation":[{"name":"Biomedical Imaging Resource Core (BIR) Mayo Clinic2,00 First St. SW, Rochester, MN 55905"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana Catarina","family":"Franco","sequence":"additional","affiliation":[{"name":"Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA"},{"name":"Robert and Arlene Kogod Center on Aging, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yeaeun","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA"},{"name":"Robert 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