Response to Biophysical Journal comment to the editor by Skóra regarding the article entitled: Vast heterogeneity in cytoplasmic diffusion rates revealed by nanorheology and Doppelgänger simulations.

In a Comment to the Editor, Skóra raises a concern that the modeling framework implemented in Garner et al. (Biophysical Journal, 2023) neglects a potentially important term in the Brownian dynamics simulation of diffusion. Omission of this diffusivity gradient term may lead to an underestimation of the mean and overestimation of the variance of the cytoplasmic viscosity.

Interpretable representation learning for 3D multi-piece intracellular structures using point clouds.

A key challenge in understanding subcellular organization is quantifying interpretable measurements of intracellular structures with complex multi-piece morphologies in an objective, robust and generalizable manner. Here we introduce a morphology-appropriate representation learning framework that uses 3D rotation invariant autoencoders and point clouds. This framework is used to learn representations of complex multi-piece morphologies that are independent of orientation, compact, and easy to interpret.