{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T21:54:01Z","timestamp":1768514041866,"version":"3.49.0"},"reference-count":29,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2020,3,30]],"date-time":"2020-03-30T00:00:00Z","timestamp":1585526400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Cutan Pathol"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Objective methods for distinguishing melanoma in situ (MIS) from photodamaged skin (PS) are needed to guide treatment in patients with melanocytic proliferations. Melanocyte density (MD) could serve as an objective histopathological criterion in difficult cases. Calculating MD via manual cell counts (MCC) with immunohistochemical (IHC)\u2010stained slides has been previously published. However, the clinical application of this method is questionable, as quantification of MD via MCC on difficult cases is time consuming, especially in high volume practices.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>ImageJ is an image processing software that uses scanned slide images to determine cell count. In this study, we compared MCC to ImageJ calculated MD in microphthalmia transcription factor\u2010IHC stained MIS biopsies and control PS acquired from the same patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We found a statistically significant difference in MD between PS and MIS as measured by both MCC and ImageJ software (<jats:italic>P<\/jats:italic> &lt;\u20090.01). Additionally, no statistically significant difference was found when comparing MD measurements recorded by ImageJ vs those determined by the MCC method.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>MD as determined by ImageJ strongly correlates with the MD calculated by MCC. We propose the use of ImageJ as a time\u2010efficient, objective, and reproducible tool to assess MD.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cup.13681","type":"journal-article","created":{"date-parts":[[2020,3,11]],"date-time":"2020-03-11T14:03:56Z","timestamp":1583935436000},"page":"675-680","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A comparison of imaging software and conventional cell counting in determining melanocyte density in photodamaged control sample and melanoma in situ biopsies"],"prefix":"10.1111","volume":"47","author":[{"given":"Anne","family":"Coakley","sequence":"first","affiliation":[{"name":"Division of Dermatopathology Department of Pathology, Loyola University Medical Center  Maywood Illinois, USA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4235-9826","authenticated-orcid":false,"given":"Timothy J.","family":"Orlowski","sequence":"additional","affiliation":[{"name":"479th Flying Training Group, Aviation Medicine Department Naval Hospital Pensacola  Pensacola Florida, USA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aaron","family":"Muhlbauer","sequence":"additional","affiliation":[{"name":"Division of Dermatopathology Department of Pathology, Loyola University Medical Center  Maywood Illinois, USA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lauren","family":"Moy","sequence":"additional","affiliation":[{"name":"Section of Dermatology, Department of Internal Medicine Loyola University Medical Center  Maywood Illinois, USA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0736-9076","authenticated-orcid":false,"given":"Jodi J.","family":"Speiser","sequence":"additional","affiliation":[{"name":"Division of Dermatopathology Department of Pathology, Loyola University Medical Center  Maywood Illinois, USA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,3,30]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamadermatol.2017.5632"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaad.2010.10.039"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1524-4725.2011.01946.x"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/00000372-199612000-00002"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bjps.2014.05.058"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1177\/0300985813503570"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2084"},{"key":"e_1_2_6_9_1","first-page":"863564","article-title":"CELLCOUNTER: novel open\u2010source software for counting cell migration and invasion in vitro","volume":"2014","author":"Li X","year":"2014","journal-title":"Biomed Res Int"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.2144\/btn-2018-0072"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.2144\/000112257"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2089"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1097\/DAD.0b013e3182093b13"},{"issue":"2","key":"e_1_2_6_14_1","first-page":"199","article-title":"The density and distribution of melanocytes adjacent to melanoma and nonmelanoma skin cancers","volume":"33","author":"Barlow JO","year":"2007","journal-title":"Dermatol Surg"},{"issue":"6","key":"e_1_2_6_15_1","first-page":"734","article-title":"Ideas in pathology. 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