Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.

New CAR Research Sheds Light on

 

Universal Screening for Autism in Toddlers

TitleNuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.
Publication TypeJournal Article
Year of Publication2016
AuthorsGross, P, Honnorat, N, Varol, E, Wallner, M, Trappanese, DM, Sharp, TE, Starosta, T, Duran, JM, Koller, S, Davatzikos, C, Houser, SR
JournalSci Rep
Volume6
Pagination23431
Date Published2016 Mar 23
ISSN2045-2322
KeywordsAnimals, Cell Nucleus, Cell Proliferation, Cell Survival, Fluorescent Antibody Technique, Humans, Image Processing, Computer-Assisted, Machine Learning, Microscopy, Confocal, Myocytes, Cardiac, Software
Abstract

Determination of fundamental mechanisms of disease often hinges on histopathology visualization and quantitative image analysis. Currently, the analysis of multi-channel fluorescence tissue images is primarily achieved by manual measurements of tissue cellular content and sub-cellular compartments. Since the current manual methodology for image analysis is a tedious and subjective approach, there is clearly a need for an automated analytical technique to process large-scale image datasets. Here, we introduce Nuquantus (Nuclei quantification utility software) - a novel machine learning-based analytical method, which identifies, quantifies and classifies nuclei based on cells of interest in composite fluorescent tissue images, in which cell borders are not visible. Nuquantus is an adaptive framework that learns the morphological attributes of intact tissue in the presence of anatomical variability and pathological processes. Nuquantus allowed us to robustly perform quantitative image analysis on remodeling cardiac tissue after myocardial infarction. Nuquantus reliably classifies cardiomyocyte versus non-cardiomyocyte nuclei and detects cell proliferation, as well as cell death in different cell classes. Broadly, Nuquantus provides innovative computerized methodology to analyze complex tissue images that significantly facilitates image analysis and minimizes human bias.

DOI10.1038/srep23431
Alternate JournalSci Rep
PubMed ID27005843
PubMed Central IDPMC4804284
Grant ListR01 HL119229 / HL / NHLBI NIH HHS / United States
P01 HL108806 / HL / NHLBI NIH HHS / United States
HL108806 / HL / NHLBI NIH HHS / United States
HL091799 / HL / NHLBI NIH HHS / United States
P01 HL091799 / HL / NHLBI NIH HHS / United States