Mark W. Moyle

The paper shows how transient morphogenetic structures and stochastic innervation models shape reproducible yet flexible wiring in C. elegans nervous systems through a trade-off between physical constraints and molecular specificity.

This paper introduces a deep learning method to correct optical aberrations in fluorescence microscopy, improving image quality and enabling better downstream analysis.

The paper introduces NeuroSC, a platform that integrates graph analytics with connectome data to explore neurodevelopmental changes in C. elegans.

The paper uses diffusion condensation to analyze the C. elegans nerve ring neuropil, revealing its stratified structure and developmental principles.

This study shows that HMR-1/Cadherin mediates tissue cohesion during C. elegans neurulation, suggesting a potential homology with vertebrate neurulation.

The paper shows multicellular rosettes organize the nerve ring neuropil in C. elegans by guiding axon outgrowth and structural formation.

This paper introduces faster deconvolution and multiview fusion methods, achieving speedups of 10 to several thousand-fold over previous approaches.