Objective detection of apoptosis in rat renal tissue sections using light microscopy and free image analysis software with subsequent machine learning: Detection of apoptosis in renal tissue

Autor:	Nayana Damiani, Macedo, Aline Rodrigues, Buzin, Isabela Bastos Binotti Abreu, de Araujo, Breno Valentim, Nogueira, Tadeu Uggere, de Andrade, Denise Coutinho, Endringer, Dominik, Lenz
Rok vydání:	2016
Předmět:	Machine Learning Microscopy Image Processing Computer-Assisted Animals Apoptosis Kidney Software Rats
Zdroj:	Tissuecell. 49(1)
ISSN:	1532-3072
Popis:	The current study proposes an automated machine learning approach for the quantification of cells in cell death pathways according to DNA fragmentation.A total of 17 images of kidney histological slide samples from male Wistar rats were used. The slides were photographed using an Axio Zeiss Vert.A1 microscope with a 40x objective lens coupled with an Axio Cam MRC Zeiss camera and Zen 2012 software. The images were analyzed using CellProfiler (version 2.1.1) and CellProfiler Analyst open-source software.Out of the 10,378 objects, 4970 (47,9%) were identified as TUNEL positive, and 5408 (52,1%) were identified as TUNEL negative. On average, the sensitivity and specificity values of the machine learning approach were 0.80 and 0.77, respectively.Image cytometry provides a quantitative analytical alternative to the more traditional qualitative methods more commonly used in studies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid________::41ec9222091b30fc8896c65e3c1f420d https://pubmed.ncbi.nlm.nih.gov/28073590 Zobrazit plný text záznamu Full Text from ScienceDirect