Visualization of the image segmentation and labeling pipeline for the first frame of an example movie.

<p>(A) Grayscale raw image. (B) Grayscale image showing the output of DeepCad. (C) Probability map generated by ilastik. (D) Binarized image obtained (from (C)) using thresholding via Li’s iterative Minimum Cross Entropy Method. (E) Smoothed binarized image. (F) Integrated movie over all time...

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Bibliographic Details
Main Author:	Miriam Schnitzerlein (21446136) (author)
Other Authors:	Eric Greto (21446139) (author), Anja Wegner (10643774) (author), Anna Möller (18076549) (author), Oliver Aust (21446142) (author), Oumaima Ben Brahim (21446145) (author), David B. Blumenthal (11838270) (author), Vasily Zaburdaev (504665) (author), Stefan Uderhardt (21446148) (author)
Published:	2025
Subjects:	Biochemistry Medicine Developmental Biology Space Science Biological Sciences not elsewhere classified physiologically relevant approach monitoring interstitial fluids employed intravital imaging div >< p characteristic morphological changes aged animals displayed interpretable cell size quantify rtm morphodynamics generate dynamic data clearing cellular debris bona fide </ pathological cell states functional tissue age various functional states resident tissue macrophages physiological native state functional states cellular morphodynamics tissue homeostasis cell populations various conditions state conditions functional status dynamic behavior vivo </ vitro </ young counterparts wide range upon challenge shape features qualitative differentiation predominantly within population level naïve morphospace morphodynamical phenotypes inflammatory activation including pro fundamentally different features allowed endosomal dysfunction diverse functions defining human current knowledge behavioral motifs >, enabling
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Visualization of the image segmentation and labeling pipeline for the first frame of an example movie.

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