Amy Strange

This study identifies factors governing cysteine detection in chemoproteomics using machine learning and statistical filtering, showing that peptide properties and abundance are key determinants.

iSBEM automates ROI targeting in SBF-SEM using XRM maps, improving acquisition throughput while maintaining targeting precision in biological specimens.

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 develops a statistic called XORness to measure functional complexity in nanoscale connectomes and shows it is high in both real and generated connectomes with similar network statistics.

This paper introduces asymmetric contrastive objectives for phenotypic screening, improving performance on benchmark datasets and real-world cell screening tasks.

OptoPi is an open-source platform for small animal behaviour analysis with custom illumination and optogenetic stimulation, demonstrating tracking of zebrafish and Drosophila larvae.

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