Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Axonal Eif5a hypusination controls local translation and mitigates defects in FUS-ALS.

Nature neuroscience·2025

Same author

Predicting allergy and postpartum depression from an incomplete compositional microbiome.

BMC genomics·2025

Same author

Multi-omics integration and batch correction using a modality-agnostic deep learning framework.

bioRxiv : the preprint server for biology·2025

Same author

Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification.

PloS one·2025

Same author

Culture-free detection of bacteria from blood for rapid sepsis diagnosis.

NPJ digital medicine·2025

Same author

Discovery of tumour indicating morphological changes in benign prostate biopsies through AI.

Scientific reports·2025

Search research articles

Related Experiment Video

Updated: Dec 20, 2025

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data.

Leslie Solorzano¹, Gabriele Partel¹, Carolina Wählby¹

¹Department of Information Technology and SciLifeLab, Uppsala University, Uppsala 752 37, Sweden.

Bioinformatics (Oxford, England)

|May 26, 2020

Summary

This summary is machine-generated.

TissUUmaps allows rapid visualization of millions of data points on tissue samples. This tool facilitates interactive exploration and data sharing for molecular marker analysis.

More Related Videos

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

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

Related Experiment Videos

Last Updated: Dec 20, 2025

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

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

Area of Science:

Digital pathology
Bioinformatics
Computational biology

Background:

Visual assessment of scanned tissue samples and molecular markers requires multi-resolution interactive inspection.
Efficient handling of image pyramids and data distribution across detail levels is crucial.

Purpose of the Study:

To present TissUUmaps, a tool for fast visualization and exploration of large-scale data on tissue samples.
To enable interactive inspection of scanned tissue samples and associated molecular markers.

Main Methods:

Development of TissUUmaps software for handling large image datasets and molecular data.
Implementation of image pyramid management and efficient data distribution strategies.

Main Results:

TissUUmaps enables fast visualization and exploration of millions of data points overlaid on tissue samples.
The tool supports both web-based and local usage, allowing extraction and sharing of regions of interest and local statistics.

Conclusions:

TissUUmaps provides an efficient solution for interactive analysis of high-resolution scanned tissue samples.
The software facilitates collaborative research through data sharing and region-of-interest analysis.