Jeffrey N. Agar

This paper introduces a MALDI MSI method to spatially profile metals in tissues, applying it to study embryogenesis, genetic disorders, and chemotherapy delivery.

massNet uses deep learning to classify spatial mass spectrometry data without preprocessing, achieving higher accuracy and faster speed than classical methods for tumor delineation in mouse brain tissue.

The paper introduces msiPL, a deep learning model for analyzing MSI data, enabling efficient non-linear visualization and identification of biologically relevant patterns.

This paper demonstrates that a cyclic thiosulfinate cross-linker stabilizes SOD1 variants in vivo, showing efficacy and low toxicity for treating SOD1-related ALS.