Krishna Agarwal

Eigen-analysis reveals components supporting super-resolution imaging of blinking fluorophores.

Non-heuristic automatic techniques for overcoming low signal-to-noise-ratio bias of localization microscopy and multiple signal classification algorithm.

Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals.

MusiJ: an ImageJ plugin for video nanoscopy.

Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning.

Deriving high contrast fluorescence microscopy images through low contrast noisy image stacks.

Mitochondrial dynamics and quantification of mitochondria-derived vesicles in cardiomyoblasts using structured illumination microscopy.

Multimodal on-chip nanoscopy and quantitative phase imaging reveals the nanoscale morphology of liver sinusoidal endothelial cells.

Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections.

Three-dimensional structured illumination microscopy data of mitochondria and lysosomes in cardiomyoblasts under normal and galactose-adapted conditions.

Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning.