Martin L. Jones

The paper introduces VP-CLEM-Kit, a cost-effective SR-vCLEM pipeline for visual proteomics, achieving 5-fold resolution improvement at 7-fold lower cost.

The paper identifies regulatory T cells as mediators of resistance to KRAS-G12C inhibitors and anti-PD-1 therapy through spatial proteomic analysis of lung cancer models.

The paper presents a method for automated 3D mitochondria segmentation in electron microscopy data, achieving high performance on rat and human cortex samples.

ZeroCostDL4Mic provides a platform to use deep learning in microscopy, enabling tasks like segmentation and denoising through Google Colab.

This paper presents an automatic framework for segmenting and modelling the nuclear envelope of HeLa cells against an ellipsoid, achieving high accuracy in segmentation.

PolNet quantifies endothelial cell polarity and blood flow in vascular networks using image analysis and computational fluid dynamics.