PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 14, 20260 citationsOpen Access

High-resolution imaging mass cytometry to map subcellular structures

View Full Paper
ABAlina BollhagenJWJames WhipmanRCRicardo Coelho

Key Points

  • This research aims to enhance the resolution of imaging mass cytometry to study subcellular structures.
  • Developed a high-resolution imaging mass cytometry method with an oversampling approach.
  • Utilized point-spread function-based deconvolution techniques for improved imaging resolution.
  • Applied the method to visualize structures in patient-derived ovarian cancer cells.
  • Achieved imaging resolution below 350 nm, capturing details previously undetectable.
  • Successfully resolved subcellular structures like nuclear foci and mitochondrial networks.
  • Demonstrated the potential of HR-IMC to analyze chemotherapy effects on cancer cells.

Abstract

Imaging mass cytometry (IMC) is a powerful multiplexed imaging technology used to investigate cell phenotypes and spatial organization of tissue in health and disease. The spatial resolution of IMC is presently at 1 µm, enabling the resolution of single cells and large subcellular compartments but not submicrometer intracellular structures. Here we report a method to improve the resolution of IMC so that it approaches that of light microscopy. High-resolution IMC (HR-IMC) uses an oversampling approach coupled with point-spread function-based deconvolution to achieve a resolution below 350 nm. We demonstrate the performance of HR-IMC in resolving subcellular structures, such as nuclear foci and mitochondrial networks previously undetectable with IMC, and applied it to visualize chemotherapy-induced perturbation of patient-derived ovarian cancer cells. HR-IMC extends highly multiplex IMC analyses into the subcellular regime, enabling analysis of cell biological features and characteristics of disease.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bollhagen et al. (2025) studied this question.

synapsesocial.com/papers/699011932ccff479cfe585b5https://doi.org/10.5167/uzh-291443
Ask AI
Helpful
Bookmark
Share
View Full Paper