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

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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