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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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Modular, open-sourced multiplexing for democratizing spatial omics.

Nicholas Zhang1,2,3, Zhou Fang1,3, Priyam Kadakia1,3

  • 1Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA. ahmet.coskun@bme.gatech.edu.

Lab on a Chip
|September 12, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed PRISMS, an open-source, automated spatial omics pipeline. This cost-effective solution democratizes multiplex imaging for biological discovery using robotics and streamlined microscopy.

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Area of Science:

  • Spatial omics
  • Molecular imaging
  • Biotechnology

Background:

  • Spatial omics enables visualization of biomolecules in native tissue context.
  • High costs of proprietary tools limit accessibility of spatial omics techniques.
  • Need for cost-effective, reproducible solutions for multiplex imaging.

Purpose of the Study:

  • Introduce PRISMS (Python-based robotic imaging and staining for modular spatial omics), an open-source automated multiplexing pipeline.
  • Democratize spatial omics by providing an accessible, reproducible, and cost-effective solution.
  • Enable high-throughput single-molecule fluorescence imaging and super-resolved imaging.

Main Methods:

  • Utilized a liquid handling robot with thermal control for automated RNA and protein staining.
  • Developed modular sample holders and Python control for high-throughput imaging.
  • Integrated with widefield and confocal microscopes and Nikon NIS Elements software.

Main Results:

  • Demonstrated PRISMS versatility by imaging tissue slides and adherent cells.
  • Successfully performed super-resolved imaging, including super-resolution radial fluctuations (SRRF).
  • Achieved high-throughput, single-molecule fluorescence imaging.

Conclusions:

  • PRISMS democratizes spatial omics through an accessible, reproducible, and cost-effective platform.
  • The open-source nature of PRISMS facilitates broader adoption and innovation in spatial biology.
  • PRISMS empowers researchers to advance spatial biology and make new discoveries.