Maki Mizukami1, Misaki Yamada2, Sayaka Fukui3, Nao Fujimoto3, Shigeru Yoshida4, Sanae Kaga4, Keiko Obata4, Shigeki Jin5, Keiko Miwa4,6, Nobuo Masauzi7. 1. Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan. 2. Department of Clinical Laboratory, Japanese Red Cross Medical Center, Tokyo, Japan. 3. Department of Clinical Laboratory, Hokkaido Industrial Health Management Fund, Sapporo, Japan. 4. Department of Medical Laboratory Science, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan. 5. Department of Fundamental Nursing, Facalty of Health Sciences, Hokkaido University, Sapporo, Japan. 6. Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan. 7. Department of Medical Laboratory Science, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan. nmasauzi@hs.hokudai.ac.jp.
Abstract
BACKGROUND: Morphological observation of blood or marrow film is still described nonquantitatively. We developed a semiautomatic method for segmenting vacuoles from the cytoplasm using Photoshop (PS) and Image-J (IJ), called PS-IJ, and measured the relative entire cell area (rECA) and relative areas of vacuoles (rAV) in the cytoplasm of neutrophil with PS-IJ. METHODS: Whole-blood samples were stored at 4°C with ethylenediaminetetraacetate and in two different preserving manners (P1 and P2). Color-tone intensity levels of neutrophil images were semiautomatically compensated using PS, and then vacuole portions were automatically segmented by IJ. The rAV and rECA were measured by counting pixels by IJ. For evaluating the accuracy in segmentations of vacuoles with PS-IJ, the rAV/rECA ratios calculated with results from PS-IJ were compared with those calculated with human eye and IJ (HE-IJ). RESULTS: The rECA and rAV/ in P1 significantly (P < 0.05, P < 0.05) were enlarged and increased, but did not significantly (P = 0.46, P = 0.21) change in P2. The rAV/rECA ratios by PS-IJ were significantly correlated (r = 0.90, P < 0.01) with those by HE-IJ. CONCLUSION: PS-IJ method can successfully segment vacuoles and measure the rAV and rECA, becoming a useful tool for quantitative description of morphological observation of blood and marrow film.
BACKGROUND: Morphological observation of blood or marrow film is still described nonquantitatively. We developed a semiautomatic method for segmenting vacuoles from the cytoplasm using Photoshop (PS) and Image-J (IJ), called PS-IJ, and measured the relative entire cell area (rECA) and relative areas of vacuoles (rAV) in the cytoplasm of neutrophil with PS-IJ. METHODS: Whole-blood samples were stored at 4°C with ethylenediaminetetraacetate and in two different preserving manners (P1 and P2). Color-tone intensity levels of neutrophil images were semiautomatically compensated using PS, and then vacuole portions were automatically segmented by IJ. The rAV and rECA were measured by counting pixels by IJ. For evaluating the accuracy in segmentations of vacuoles with PS-IJ, the rAV/rECA ratios calculated with results from PS-IJ were compared with those calculated with human eye and IJ (HE-IJ). RESULTS: The rECA and rAV/ in P1 significantly (P < 0.05, P < 0.05) were enlarged and increased, but did not significantly (P = 0.46, P = 0.21) change in P2. The rAV/rECA ratios by PS-IJ were significantly correlated (r = 0.90, P < 0.01) with those by HE-IJ. CONCLUSION: PS-IJ method can successfully segment vacuoles and measure the rAV and rECA, becoming a useful tool for quantitative description of morphological observation of blood and marrow film.
Authors: Juan-Lluis Vives Corrons; Stephanie Albarède; George Flandrin; Silke Heller; Katalin Horvath; Berend Houwen; Gunnar Nordin; Erika Sarkani; Milan Skitek; Marjan Van Blerk; Jean-Claude Libeer Journal: Clin Chem Lab Med Date: 2004 Impact factor: 3.694
Authors: Joan-Lluis Vives-Corrons; Carol Briggs; Ramon Simon-Lopez; Stephanie Albarede; Barbara de la Salle; Zlata Flegar-Meatrii; Aida Nazor; Anne Guyard; Thomas Lipsic; Yukata Nagai; Mariana Patiu; Josep Piqueras; Maria Jesus Capel; Marjan Van Blerk; Jianbiao Wang; Christophe Marzac Journal: Int J Lab Hematol Date: 2013-12-12 Impact factor: 2.877