CytoPb: Segmentation-free and threshold-free analysis of highly multiplexed images of biological tissue

bioRxiv (Cold Spring Harbor Laboratory)(2023)

Cited 0|Views12
No score
Abstract
We present a novel method and code, CytoPb, for the analysis of multiplexed images that is segmentation-free and threshold-free and produces results that correlate well with existing methods but is faster to run, needs minimal training and removes subjectivity associated with the validation of single-cell segmentation and thresholding. In three data sets cell abundance measures correlate with previous methods (Pearson’s coef. >0.75). Neighbourhood analysis and cell-cell proximity are possible. ### Competing Interest Statement The authors have declared no competing interest.
More
Translated text
Key words
multiplexed images,biological tissue,segmentation-free,threshold-free
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined