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National Instruments Inc
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Vutara Inc
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Image Search Results
Journal: Frontiers in Oncology
Article Title: Progression-Mediated Changes in Mitochondrial Morphology Promotes Adaptation to Hypoxic Peritoneal Conditions in Serous Ovarian Cancer
doi: 10.3389/fonc.2020.600113
Figure Lengend Snippet: Mitochondrial fragmentation is enhanced during aggregation. (A) Representative images of mitochondria in MOSE-L and MOSE-L TIC v spheroids obtained by confocal fluorescent microscopy (scale bar set at 20µm) indicating MitoTracker deep red (MTDR) staining was retained during aggregation and after 48 h incubation prior to MeOH fixation. (B) STORM imaging (scale bar set at 1µm.) with cluster representations of assigned localizations (right) from super resolution images. (C) Mitochondrial fragmentation was quantified using the image-based cluster analysis module with the SRX software. # p < 0.05 different from MOSE-L in normoxia, *p < 0.05 different from MOSE-L in hypoxia.
Article Snippet: Mitochondrial fragmentation was assessed and compared between different cell types and media conditions using the image-based cluster analysis module within the
Techniques: Microscopy, Staining, Incubation, Imaging, Software
Journal: Frontiers in Oncology
Article Title: Progression-Mediated Changes in Mitochondrial Morphology Promotes Adaptation to Hypoxic Peritoneal Conditions in Serous Ovarian Cancer
doi: 10.3389/fonc.2020.600113
Figure Lengend Snippet: Mitochondrial fragmentation is regionally altered in ovarian cancer spheroids. (A) Regional super resolution stochastic optical reconstruction microscopy (STORM) imaging of MOSE-L and MOSE-L TIC v spheroids and cluster representations of assigned localizations. Localizations colored by depth (darker indicates increasing spheroid depth) scale bar set at 1µm. (B, C) Quantitation of mitochondrial fragmentation and morphological structure using the image-based cluster analysis module with the Vutara SRX software system for cluster particle count and surface area. *p < 0.05.
Article Snippet: Mitochondrial fragmentation was assessed and compared between different cell types and media conditions using the image-based cluster analysis module within the
Techniques: Microscopy, Imaging, Quantitation Assay, Software