Mojtaba R. Tavakoli

The paper introduces niiv, a self-supervised method for isotropic reconstruction of 3D microscopy data, achieving faster and higher-quality results than existing methods.

This paper develops LICONN, a light-microscopy based method for synapse-level connectomic reconstruction of brain tissue using hydrogel expansion and deep learning.

This paper introduces an image-based 3D active stabilization method for super-resolution microscopy, achieving ~1 nm stability without requiring fiducial markers or complex hardware.

This study develops and applies expansion microscopy to Arabidopsis root tissues, achieving improved resolution and visualizing subcellular structures.

This study identifies unique connectivity and synaptic rules in human hippocampal CA3 circuits that enhance associative memory capacity compared to rodents.