Contact Us

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…
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…
Mouse kidney section with Alexa Fluor™ 488 WGA, Alexa Fluor™ 568 Phalloidin, and DAPI. Sample is a FluoCells™ prepared slide #3 from Thermo Fisher Scientific, Waltham, MA, USA. Images courtesy of Dr. Reyna Martinez – De Luna, Upstate Medical University, Department of Ophthalmology.

The Power of Pairing Adaptive Deconvolution with Computational Clearing

Learn how deconvolution allows you to overcome losses in image resolution and contrast in widefield fluorescence microscopy due to the wave nature of light and the diffraction of light by optical…
Mouse retina was fixed and stained by following reagents: anti-CD31 antibody (green): Endothelia cells, IsoB4 (red): Blood vessels, and microglia anti-GFAP antibody (blue): Astrocytes Sample courtesy by Jeremy Burton, PhD and Jiyeon Lee, PhD, Genentech Inc., South San Francisco, USA. Imaged by Olga Davydenko, PhD (Leica). Imaged with a THUNDER Imager 3D Cell Culture.

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