Vikram Kohli , PhD

Vikram Kohli

Vikram Kohli Ph.D is trained as a physicist and engineer with a specialty in semiconductor physics, laser & electro-optics, and mathematics. His postdoctoral work focused on vascular development, neuronal biology, and the genomics and etiology of autoimmune diseases. 

Raw widefield and THUNDER image of a mouse dorsal root ganglion with tdTomato (red) expressed in the sensory neurons.

Fast, High-contrast 3D Imaging of Sensory Neurons

This article discusses how fast, high-contrast 3D imaging of dorsal root ganglion (DRG) tissue with a THUNDER Imager Tissue using large volume computational clearing (LVCC) allows sensory neurons to…
THUNDER images of chick embryo brain with labelled neuronal progenitors: left) Raw widefield data and right) after computational clearing. Courtesy T. Sanders, University of Chicago, USA.

Deciphering Signaling Pathways in Developmental Biology

This article shows how sharp, rapid imaging of neuronal progenitors in chick embryos with a THUNDER Imager Model Organism and small volume computational clearing (SVCC) could help with the study of…
Macroscopic extended depth of field images of C. elegans

Autophagy and Age-Related Pathologies

High-contrast imaging of the model organism C. elegans, a nematode, with the THUNDER Imager Model Organism using Small Volume Computational Clearing (SVCC) helps to better understand how autophagy and…

The Power of Pairing Adaptive Deconvolution with Computational Clearing

Deconvolution is a computational method used to restore the image of the object that is corrupted by the point spread function (PSF) along with sources of noise. In this technical brief, learn how the…

Studying Autoimmune Disease

This article discusses how autoimmune diseases, like systemic lupus erythematosus (SLE), can be studied more efficiently using thick, 3D kidney tissue specimens visualized with a THUNDER Imager . SLE…

An Introduction to Computational Clearing

Many software packages include background subtraction algorithms to enhance the contrast of features in the image by reducing background noise. The most common methods used to remove background noise…
Scroll to top