P. M. Pereira

This study shows that nanoscale colocalization of NK cell activating and inhibitory receptors determines signal integration and inhibition.

DeepBacs uses open-source deep learning to analyze bacterial microscopy images, offering tools for segmentation, classification, and phenotyping with applications in antibiotic research.

This study uses single-molecule super-resolution imaging to quantify nanoscale CD4 redistribution on CD4+ T cells after HIV-1 binding, revealing cluster size and molecule number changes.

The paper introduces Super-Beacons, open-source DNA-based probes that enable spontaneous photoswitching for live-cell super-resolution microscopy without high-intensity illumination.

The paper uses genome-edited cell lines with labeled nuclear pore complexes to serve as reference standards for quantitative superresolution microscopy.

The paper shows that fixation methods affecting the actin cytoskeleton alter CD4 membrane organization in super-resolution microscopy.

This study shows TMEM16F activation by Ca2+ causes surface membrane expansion and PD-1 trafficking in T cells.

NanoJ-SQUIRREL quantitatively maps and minimizes super-resolution imaging artefacts by comparing diffraction-limited and super-resolution images across various techniques.