2020
DOI: 10.1002/cpcb.108
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QuoVadoPro, an Autonomous Tool for Measuring Intracellular Dynamics Using Temporal Variance

Abstract: QuoVadoPro, an autonomous tool for measuring intracellular dynamics using temporal variance.

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Cited by 6 publications
(8 citation statements)
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“…Mitochondria in these cells are extensively interconnected and make only short linear runs that are poorly analyzed by kymography. We therefore developed an algorithm ( Basu and Schwarz, 2020 ) that reflects the extent to which they move by analyzing the variance in pixel occupancy of mitochondrial fluorescence over time ( Fig. S2 A ).…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Mitochondria in these cells are extensively interconnected and make only short linear runs that are poorly analyzed by kymography. We therefore developed an algorithm ( Basu and Schwarz, 2020 ) that reflects the extent to which they move by analyzing the variance in pixel occupancy of mitochondrial fluorescence over time ( Fig. S2 A ).…”
Section: Resultsmentioning
confidence: 99%
“…The time-lapse images of organellar movement in cell lines were analyzed with software we developed for this purpose, QuoVadoPro ( Basu and Schwarz, 2020 ). Briefly, the images are initially segmented into binary masks.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…This software was instrumental in the initial determination that mitochondrial motility follows a lognormal distribution as seen in Figure 2 (Kandel et al, 2015) and in demonstrating that motility in the cell perinuclear and peripheral regions is not identical, as is shown in Figure 2 (Jang et al, 2019;Green et al, 2021). QuoVadoPro (QVP) (Basu and Schwarz, 2020) is also available online and can be found at https://github.com/ ThomasSchwarzLab/QuoVadoPro, utilizes ImageJ macros to quantify movement of a fluorescently tagged organelle. The extent of intracellular movement is inferred by quantifying the variance of pixel illumination over a series of time-lapse images.…”
Section: Methods To Assess Mitochondrial Motilitymentioning
confidence: 99%
“…Quantitative analysis of this data remains a problem however. The majority of existing quantitative analysis software was designed for two-dimensional (2D) fluorescence images of mitochondria (MyToe 14 , MitoSPT 15 , QuoVadoPro 16 ). For threedimensional (3D) fluorescence images, MitoGraph [17][18][19] is a unique tool for the segmentation and quantitation of 3D mitochondrial network morphology, yet lacks temporal analysis.…”
Section: Introductionmentioning
confidence: 99%