Josiah B. Passmore

This paper benchmarks predictive modeling and control techniques with optogenetics to steer nucleocytoplasmic transport in mammalian cells, showing robust performance against cell-to-cell variation.

This paper introduces outcome-driven microscopy, combining optogenetics and smart microscopy to achieve precise control over cellular behavior through predefined outcomes.

This paper introduces SIMCODE, a method combining modulation patterns and deep learning to enhance single-molecule localization microscopy, achieving better resolution and performance in high-density samples.

This paper introduces a method to quantify intensity distribution in 3D and 2D microscopy data using spherical harmonics, demonstrating its application across various biological systems.

The paper constructs a co-regulation map of the human proteome using mass spectrometry data and machine learning to identify functional relationships between proteins.