Image cytometry: current applications and future trends.

作者: Valentin A Russack , R. L. Artymyshyn

DOI: 10.3109/10408369409084672

关键词: Expert systemBiologyImage CytometryBioinformaticsCytometryData scienceSpecimen preparationDna ploidyCytological Techniques

摘要: Image cytometry has numerous clinical and research applications is particularly useful in anatomic pathology for the study of malignant lesions. Modern image systems encompass morphometry, densitometry, neural networks, expert systems. Rapid advances technology development user-friendly have provided pathologists with an alternative to flow cytometry, evaluation small or hypocellular specimens. The most common current application DNA analysis, followed by quantitation immunohistochemical staining. Newer uses under active investigation include that may act as diagnostic consultants future. Beyond holds great promise improved tumor classification, screening surveillance high-risk populations, a tool improve ability. This article discusses types analysis systems, specimen preparation, data acquisition, specific organ sites, possible future applications.

参考文章(177)
Bo Baldetorp, Mårten Fernö, Anders Fallenius, Ghita Fallenius-Vecchi, Ingrid Idvall, Håkan Olsson, Helgi Sigurdsson, Måns Åkerman, Dick Killander, Image cytometric DNA analysis in human breast cancer analysis may add prognostic information in diploid cases with low S‐Phase fraction by flow cytometry Cytometry. ,vol. 13, pp. 577- 585 ,(1992) , 10.1002/CYTO.990130605
Flavio Robutti, Pier-Giacomo Betta, Adalberto Donna, Mansueto Pavesi, A morphometrically-based classification rule for the diagnosis of primary mesothelial lesions. The Journal of Pathology. ,vol. 162, pp. 57- 60 ,(1990) , 10.1002/PATH.1711620111
William L. McGuire, Atul K. Tandon, D. Craig Allred, Gary C. Chamness, Gary M. Clark, How to use prognostic factors in axillary node-negative breast cancer patients. Journal of the National Cancer Institute. ,vol. 82, pp. 1006- 1015 ,(1990) , 10.1093/JNCI/82.12.1006
B Stenkvist, S Westman-Naeser, J Vegelius, J Holmquist, B Nordin, E Bengtsson, O Eriksson, Analysis of reproducibility of subjective grading systems for breast carcinoma. Journal of Clinical Pathology. ,vol. 32, pp. 979- 985 ,(1979) , 10.1136/JCP.32.10.979
G. Santeusanio, A. Mauriello, S. Schiaroli, L. Anemona, L.G. Spagnoli, G. Scambia, M. Oberholzer, Densitometric and morphometric study of immunocytochemical estrogen receptors detection in breast carcinomas Pathology Research and Practice. ,vol. 188, pp. 478- 483 ,(1992) , 10.1016/S0344-0338(11)80041-5
B Czerniak, F Herz, R P Wersto, P Alster, E Puszkin, E Schwarz, L G Koss, Quantitation of oncogene products by computer-assisted image analysis and flow cytometry. Journal of Histochemistry and Cytochemistry. ,vol. 38, pp. 463- 466 ,(1990) , 10.1177/38.4.1969431
J. Smolle, H.P. Soyer, F.-M. Smolle-Juettner, H. Stettner, H. Kerl, Computer Simulation Analysis of Morphological Patterns in Human Melanocytic Skin Tumours Pathology Research and Practice. ,vol. 187, pp. 986- 992 ,(1991) , 10.1016/S0344-0338(11)81070-8
M. L. Friedlander, I. W. Taylor, P. Russell, E. A. Musgrove, D. H. Hedley, M. H. N. Tattersall, Ploidy as a prognostic factor in ovarian cancer. International Journal of Gynecological Pathology. ,vol. 2, pp. 55- 63 ,(1983) , 10.1097/00004347-198301000-00005