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Related Experiment Video

Updated: Jul 16, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.

Emily Laubscher¹, Xuefei Julie Wang², Nitzan Razin²

¹Division of Chemistry and Chemical Engineering, Caltech, Pasadena, CA.

Biorxiv : the Preprint Server for Biology

|September 21, 2023

Summary

This summary is machine-generated.

Polaris simplifies spatial transcriptomics analysis using deep learning for accurate gene expression quantification. This turnkey solution supports MERFSIH, seqFISH, and ISS data, enhancing biological discovery.

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Area of Science:

Molecular Biology
Bioinformatics
Computational Biology

Background:

Image-based spatial transcriptomics offers transcriptome-scale gene expression data with spatial context.
Current analysis pipelines are often complex and require manual optimization.
Accurate single-cell gene expression quantification remains a challenge.

Approach:

Introduced Polaris, an integrated analysis pipeline for image-based spatial transcriptomics.
Employed deep learning models for precise cell segmentation and spot detection.
Integrated a probabilistic gene decoder for robust single-cell gene expression quantification.

Key Points:

Polaris provides a unified, automated solution for diverse spatial transcriptomics datasets (MERFSIH, seqFISH, ISS).
The pipeline leverages deep learning for enhanced accuracy in cell and gene detection.
Enables precise spatial gene expression profiling at the single-cell level.

Conclusions:

Polaris streamlines the analysis of spatial transcriptomics data, making it more accessible.
Facilitates deeper insights into spatial gene expression patterns and cellular functions.
The DeepCell software library provides open access to this powerful analytical tool.