IAMSAM: image-based analysis of molecular signatures using the Segment Anything Model

IAMSAM: image-based analysis of molecular signatures using the Segment Anything Model

Abstract Spatial transcriptomics is a cutting-edge technique that combines gene expression with spatial information, allowing researchers to study molecular patterns within tissue architecture. Here, we present IAMSAM, a user-friendly web-based tool for analyzing spatial transcriptomics data focusin...

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Bibliographic Details
Main Authors: Dongjoo Lee, Jeongbin Park, Seungho Cook, Seongjin Yoo, Daeseung Lee, Hongyoon Choi
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Genome Biology
Subjects:
Spatial transcriptomics
Image segmentation
H&E image
Deep learning
Histology
Online Access:https://doi.org/10.1186/s13059-024-03380-x
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https://doi.org/10.1186/s13059-024-03380-x

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