{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T22:33:19Z","timestamp":1784068399318,"version":"3.55.0"},"reference-count":36,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T00:00:00Z","timestamp":1692921600000},"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":["Int J Lab Hematology"],"published-print":{"date-parts":[[2023,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>We sought to quantify percentages of microcytes and macrocytes in archived automated hematology analyzer (AHA) red blood cell (RBC) volume histogram images.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In preliminary studies, we demonstrated that an on\u2010line application of Gauss' area formula (SketchAndCalc\u2122) measured percentage areas of 20 segments under a computer\u2010generated normal distribution curve (\u22123.0 standard deviations [SD] to +3.0 SD) with accuracy and precision (Pearson's correlation of measured areas with corresponding theoretical areas <jats:italic>r<\/jats:italic> [20]\u2009=\u20090.9962 [<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001]). Thus, we used SketchAndCalc\u2122 to quantify percentages of microcytes (50\u201380\u2009fL) and macrocytes (110\u2013200\u2009fL) in archived AHA histogram images in women with previously untreated iron\u2010deficiency anemia (IDA) and previously untreated hemochromatosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Median microcyte percentages in 13 women with IDA and 13 women with hemochromatosis were 63.6% (range 13.5\u201376.8) and 6.7% (range 3.4\u201324.8), respectively (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001). Mean macrocyte percentages in women with IDA and hemochromatosis were 8.8%\u2009\u00b1\u20096.1 SD and 33.8%\u2009\u00b1\u200911.7 SD, respectively (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001). Spearman's correlations of microcyte percentages with macrocyte percentages, mean corpuscular volume, and mean corpuscular hemoglobin in 26 women were <jats:italic>r<\/jats:italic><jats:sub><jats:italic>s<\/jats:italic><\/jats:sub> [26]\u2009=\u2009\u22120.9485, <jats:italic>r<\/jats:italic><jats:sub><jats:italic>s<\/jats:italic><\/jats:sub> [26]\u2009=\u2009\u22120.9641, and <jats:italic>r<\/jats:italic><jats:sub><jats:italic>s<\/jats:italic><\/jats:sub> [26]\u2009=\u2009\u22120.9036, respectively (each <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This method of quantifying microcyte and macrocyte percentages could enable other studies of RBC volume subpopulations in archived AHA histogram images.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.14147","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T11:54:47Z","timestamp":1692964487000},"page":"875-880","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Quantifying microcyte and macrocyte percentages in archived red blood cell volume histogram images"],"prefix":"10.1111","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2876-8276","authenticated-orcid":false,"given":"James C.","family":"Barton","sequence":"first","affiliation":[{"name":"Department of Medicine University of Alabama at Birmingham  Birmingham Alabama USA"},{"name":"Southern Iron Disorders Center  Birmingham Alabama USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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