Mitochondria exist in a dynamic cycle of fusion and fission whose balance directly influences the morphology of the 'mitochondrial network', a term that encompasses the branched, reticular structure of fused mitochondria as well as the separate, punctate individual organelles within a eukaryotic cell. Over the past decade, the significance of the mitochondrial network has been increasingly appreciated, motivating the development of various approaches to analyze it.
Allows automatic reconstruction of entire tissue blocks. AnalyzeSkeleton calculates the optimum transformation at each pyramid level. It is able to store cellular-level phenotypic information. The tool (1) acquires images, (2) automatically and rigidly registers them, (3) segments the structures of interest, (4) groups their resulting contours, (5) locally or elastically refines registration, and (6) reconstructs structure in 3D based on the grouped contours.
Analyzes the extent of mitochondrial network fusion in cultured adherent mammalian cells. MiNA is able to identify and characterize morphological features of mitochondrial networks in multiple cell lines. It can detect differences in network fusion resulting from resveratrol treatment. The tool aims to estimate the mitochondrial network skeleton in representative images of a single cell and then compute values describing that skeleton.
Permits to measure mitochondrial interconnectivity and elongation from epifluorescence micrographs of cells immuno-stained. Mito-Morphology allows users to analyze mitochondria in the cell. It permits to specify if user want to measure mitochondria from another cell in the same field. The tool offers a polygon selection tool that allows to select the area of interest on a single cell to analyze.
Performs mitochondrial image analysis. MitoMo is an automated image/video processing software that automates unbiased quantitative analysis of mitochondrial morphology, texture, motion, and morphogenesis and advances machine-learning classification to predict cell health by combining features. The software allows analysis of mitochondrial morphogenesis in time-lapse videos to study early progression of cellular stress. It permits deep analysis of mitochondrial features in any cell type and can be applied to a broad spectrum of research problems in cell biology, drug testing, toxicology, and medicine.
Quantifies biological hallmarks and includes mitochondrial morphology and nuclear condensation. IDOTMETER allows to measure a variety of cellular changes, mainly involving autophagy and cell survival determinations, with high throughput in a simple and easy manner. The main advantage of this tool is to automatically extract and analyze all of the information from images of interest in a batch mode. Using software for high-throughput cell image analysis offers researchers the possibility of performing comprehensive and precise analysis of a high number of images in an automated manner, making this routine task easier.
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