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Super-resolution Fluorescence Microscopy

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Updated: Jun 12, 2025

Quantifying Intermembrane Distances with Serial Image Dilations

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

ImSpiRE: image feature-aided spatial resolution enhancement method.

Yuwei Hua¹, Yizhi Zhang¹, Zhenming Guo¹

¹State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Institute for Regenerative Medicine, Department of Neurosurgery, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.

Science China. Life Sciences

|September 26, 2024

Summary

This summary is machine-generated.

ImSpiRE enhances spatial transcriptomic resolution using histological images. This method improves sub-cellular resolution for deeper biological insights and discoveries.

Keywords:

histological images spatial resolution enhancement spatial transcriptome

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Last Updated: Jun 12, 2025

Quantifying Intermembrane Distances with Serial Image Dilations

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Published on: September 28, 2018

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Published on: February 12, 2014

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

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Published on: December 1, 2016

Area of Science:

Spatial transcriptomics
Computational biology
Histopathology imaging

Background:

Current spatial transcriptomic technologies often lack single-cell resolution, hindering detailed biological analysis.
Limitations in resolution restrict the ability to identify fine-grained cellular interactions and tissue structures.

Purpose of the Study:

To introduce ImSpiRE, a novel method for enhancing the spatial resolution of in situ spatial transcriptomic data.
To leverage histological image features for improved spatial transcriptomic profiling.

Main Methods:

ImSpiRE utilizes an optimal transport model to redistribute gene expression data from larger spots to finer resolutions.
The method integrates histological image information to guide the resolution enhancement process.
Gene expression profiles are extended to unmeasured regions based on image features.

Main Results:

ImSpiRE successfully enhances spatial transcriptomic resolution to the subspot level across multiple datasets.
The method facilitates the identification of distinct tissue domains and cellular neighborhoods.
ImSpiRE aids in uncovering spatial patterns of cell-cell communication and spatiotemporal dynamics.

Conclusions:

ImSpiRE offers a powerful approach to overcome resolution limitations in spatial transcriptomics.
Enhanced resolution enables more precise biological discoveries, including tissue architecture and intercellular signaling.
This method has broad applications in various fields of biological and biomedical research.