Imaging mass cytometry

Enabling High-Throughput Tissue Sectioning for Robust Lipid Mass Spectrometry Imaging

Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has been established as a powerful tool for the spatial characterization of molecules. Recent advances have been driven by improvements in the spatial resolution, acquisition time, and sensitivity. Although MALDI-MSI excels in the label-f...

Emerging technologies in the spatial proteomics landscape.

Imaging flow cytometry combined with spatial light modulator

A spatial light modulator (SLM) is introduced into the optical system of the imaging flow cytometer to preprocess the forward scattering signals of cells within the optical neural network framework, thereby lowering the subsequent computational burden on images of cells.

Multimodal Imaging of the Cellular and Extracellular Microenvironment on the Same Formalin-Fixed Paraffin-Embedded Tissue Section

Same-tissue section multimodal imaging is a powerful strategy that spatially profiles tissue histology, cell populations and molecular composition while maximizing tissue economy, preserving spatial molecular relationships, and increasing co-registration capacity. However, performing multiple modalities on the same tis...

Using Fluorescence Lifetime Imaging Microscopy to Probe the Metabolic Peritumor Microenvironment and Beyond

Fluorescence lifetime imaging microscopy (FLIM) is an advanced microscopy technique that enables label-free, non-destructive optical metabolic imaging (OMI) of biological materials at spatiotemporal resolution. Accordingly, FLIM has emerged as a widely used platform for multi-scale characterization of the tumor mic...

SCORPy: Lowering the computational barrier to reproducible multiplexed imaging spatial single-cell proteomics analysis

SCORPy introduces methodological advances for preprocessing multiplexed imaging data: an exposure-aware, cycle-matched background correction strategy, and a normalization framework that harmonizes signal distributions across markers while enabling batch correction across experiments.