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Spatial ploidy inference using quantitative imaging

delete2025-12-04
delete0
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OA
AI
N
Nicholas J. Russell
P
Paulo B. Belato
L
Lilijana S. Oliver
A
Archan Chakraborty
A
Adrienne Roeder
D
Donald T. Fox
P
Pau Formosa-Jordan *
DOI：10.1016/j.crmeth.2025.101249delete
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Abstract

Abstract

En 中文
• iSPy is a computational pipeline to generate spatial ploidy maps across a tissue • iSPy rapidly and accurately quantifies nuclear ploidy in intact tissues • We apply the method to Arabidopsis, Drosophila, and human nuclei • The spatial ploidy maps reveal insights into ploidy patterning across a tissue
Keywords:
ploidy
endopolyploidy
endoreduplication
machine learning
image analysis
pattern formation
Arabidopsis
Drosophila
cardiomyocytes
confocal microscopy
CP: genetics
CP: imaging
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Cell Reports Methods cover
Cell Reports Methods
IF:
4.5
Papers:
924
Citations:
2.0K

Organization

D
Duke University
Scholars:
6.3W
Papers: 5.7W
Citations: 6.5W
C
Cornell University
Scholars:
6.3W
Papers: 5.4W
Citations: 10.9W
M
Max Planck Institute for Plant Breeding Research
Scholars:
134
Papers: 48
Citations: 0
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