{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T09:31:11Z","timestamp":1759743071580},"reference-count":16,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2005,3,8]],"date-time":"2005-03-08T00:00:00Z","timestamp":1110240000000},"content-version":"vor","delay-in-days":3811,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cytometry"],"published-print":{"date-parts":[[1994,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>High\u2010resolution image analysis was employed in the analysis of round (discoid) erythrocytes from hematologically normal (AA) individuals, AA individuals with nonspecific anemia, individuals with sickle cell trait (AS), individuals with SC disease (SC), and individuals with sickle cell anemia (SS). The shape feature Form Factor (4\u03c0Area\/Perimeter<jats:sup>2<\/jats:sup>) was used to select round cells and to exclude sickle and other abnormal cells. Textural features extracted from round cells of SS and SC patients were found to differ from those derived from cells of normal andanemic AA individuals. Two textural features, Standard Deviation of Run Length Matrix Counts and Rotation Moment of the Cooccurrence Matrix, discriminated between patient mean values from AA samples and those from SS samples. The ability of textural features to separate round cells into classes based on genotype suggests that high resolution image analysis may be an effective tool in the study and monitoring of sickle cell disease. \u00a9 1994 Wiley\u2010Liss, Inc.<\/jats:p>","DOI":"10.1002\/cyto.990170209","type":"journal-article","created":{"date-parts":[[2005,6,30]],"date-time":"2005-06-30T19:49:39Z","timestamp":1120160979000},"page":"167-172","source":"Crossref","is-referenced-by-count":8,"title":["Textural differences between AA and SS blood specimens as detected by image analysis"],"prefix":"10.1002","volume":"17","author":[{"given":"Roy D.","family":"Robinson","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lennette J.","family":"Benjamin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janice M.","family":"Cosgriff","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Cox","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oleg P.","family":"Lapets","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter T.","family":"Rowley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edward","family":"Yatco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leon L.","family":"Wheeless","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2005,6,23]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1177\/25.7.330716"},{"key":"e_1_2_1_3_2","first-page":"123","article-title":"Quantitative measurement of red blood cell central pallor and hypochromasia","volume":"2","author":"Bacus JW","year":"1980","journal-title":"Anal Quant Cytol"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1159\/000409900"},{"key":"e_1_2_1_5_2","doi-asserted-by":"crossref","first-page":"2154","DOI":"10.1182\/blood.V79.8.2154.2154","article-title":"Red blood cell changes during the evolution of the sickle cell painful crisis","volume":"71","author":"Ballas SK","year":"1992","journal-title":"Blood"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2141.1975.tb01801.x"},{"key":"e_1_2_1_7_2","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1182\/blood.V68.1.301.301","article-title":"The percentage of dense red cells does not predict the incidence of sickle cell painful crisis","volume":"68","author":"Billet HH","year":"1986","journal-title":"Blood"},{"key":"e_1_2_1_8_2","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1182\/blood.V64.2.559.559","article-title":"An objective sign in painful crisis in sickle cell anemia: The concomitant reduction of high density red cells","volume":"64","author":"Fabry ME","year":"1984","journal-title":"Blood"},{"key":"e_1_2_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0146-664X(75)80008-6"},{"key":"e_1_2_1_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"e_1_2_1_11_2","first-page":"613","article-title":"Morphologic studies of sickle erythrocytes by image analysis","volume":"115","author":"Horiuchi K","year":"1990","journal-title":"J Lab Clin Med"},{"key":"e_1_2_1_12_2","doi-asserted-by":"crossref","first-page":"4338","DOI":"10.1016\/S0021-9258(18)68931-8","article-title":"The effect of speed of deoxygenation on the percentage of aligned hemoglobin in sickle cells","volume":"263","author":"Mickols WE","year":"1988","journal-title":"J Biol Chem"},{"key":"e_1_2_1_13_2","doi-asserted-by":"publisher","DOI":"10.1177\/24.1.56387"},{"key":"e_1_2_1_14_2","unstructured":"Smeulders AWM:Pattern analysis of cervical specimens. 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