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Highly-Multiplexed Tissue Imaging with Raman Dyes

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Published on: April 21, 2022

TissueViewer: a web-based multiplexed image viewer.

David Gerardus Pieter van IJzendoorn¹, Magdalena Matusiak¹, Rob West¹

¹Stanford University, Department of Pathology, Stanford, CA 94305.

Bioinformatics (Oxford, England)

|April 25, 2025

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Spatial biology datasets are large and difficult to view. TissueViewer is a new web-based platform that enables fast, high-resolution viewing and sharing of these complex spatial biology datasets with low bandwidth needs.

Area of Science:

Biotechnology
Bioinformatics
Computational Biology

Background:

Spatial biology techniques generate large, information-rich datasets.
Commercial platforms enable multiplexed signal acquisition but pose viewing challenges.
Large spatial biology data requires significant computational resources for viewing and sharing.

Purpose of the Study:

To develop an efficient web-based viewer for spatial biology data.
To overcome computational and bandwidth limitations in accessing spatial biology datasets.
To facilitate high-resolution image viewing and data sharing.

Main Methods:

Development of a web-based application named TissueViewer.
Implementation of low-bandwidth, high-speed data delivery mechanisms.

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Deployment on GitHub and a dedicated platform for user data uploads.

Main Results:

TissueViewer provides easy setup and use for high-resolution image viewing.
The platform ensures fast image delivery over the internet.
Low bandwidth requirements are met, overcoming previous limitations.

Conclusions:

TissueViewer effectively addresses the challenges of viewing and sharing large spatial biology datasets.
The tool enhances accessibility and collaboration in spatial biology research.
Web-based solutions are crucial for managing and disseminating complex biological data.