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We have developed a machine learning algorithm based on Region\u2010based Convolutional Neural Networks (Mask\u2010RCNN) that was trained in object recognition to detect and quantitate urine spots across a broad range of sizes\u2014ML\u2010UrineQuant. The model proved extremely accurate at identifying urine spots in a wide variety of illumination and contrast settings. The overwhelming advantage it offers over current algorithms will be to allow individual labs to fine\u2010tune the model on their specific images regardless of the image characteristics. This should be a valuable tool for anyone performing lower urinary tract research using mouse models.<\/jats:p>","DOI":"10.14814\/phy2.70243","type":"journal-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T04:20:36Z","timestamp":1742358036000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["<scp>ML<\/scp>\u2010<scp>UrineQuant<\/scp>: A machine learning program for identifying and quantifying mouse urine on absorbent paper"],"prefix":"10.14814","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2772-7264","authenticated-orcid":false,"given":"Warren G.","family":"Hill","sequence":"first","affiliation":[{"name":"Laboratory of Voiding Dysfunction, Division of Nephrology, Department of Medicine Beth Israel Deaconess Medical Center &amp; Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bryce","family":"MacIver","sequence":"additional","affiliation":[{"name":"Laboratory of Voiding Dysfunction, Division of Nephrology, Department of Medicine Beth Israel Deaconess Medical Center &amp; Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gary A.","family":"Churchill","sequence":"additional","affiliation":[{"name":"The Jackson Laboratory  Bar Harbor Maine USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mariana G.","family":"DeOliveira","sequence":"additional","affiliation":[{"name":"Laboratory of Pharmacology Sao Francisco University  Sao Paulo Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark L.","family":"Zeidel","sequence":"additional","affiliation":[{"name":"Laboratory of Voiding Dysfunction, Division of Nephrology, Department of Medicine Beth Israel Deaconess Medical Center &amp; Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcelo","family":"Cicconet","sequence":"additional","affiliation":[{"name":"Image and Data Analysis Core, Department of Cell Biology Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,3,18]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-45234-8"},{"key":"e_1_2_8_3_1","first-page":"81","article-title":"Micturition defects and altered bladder function in the klotho mutant mouse model of aging","volume":"8","author":"Bartolone S. 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