Ishan Barman

The paper identifies an anisotropic attractor and predictive feedback control mechanism governing cellular density homeostasis using single-cell mass-volume measurements.

This paper develops a low-cost, field-compatible SERS substrate fabrication method using common materials and battery power, achieving high sensitivity and reproducibility for detecting pesticides and bacteria.

This study uses optical diffraction tomography to show that disordered glass nanowire substrates induce in vivo-like astrocyte morphology in cultured rat astrocytes.

The paper investigates cell mass density (CMD) dynamics after osmotic shock and finds CMD recovers monotonically through coordinated protein synthesis and volume growth, with NHE playing a regulatory role.

This study shows that fructose impairs brown adipocyte differentiation and function in both mice and humans, affecting lipid droplet formation and adipogenic gene expression.

The paper introduces a method using quantitative phase imaging and genomic analysis tools to infer cellular trajectories based on morphology, revealing morphological patterns in leukemia and breast cancer progression.

This paper introduces a deep learning-powered colloidal digital SERS platform for precise monitoring of cell culture media, achieving high accuracy and reproducibility in detecting analytes.

This study uses optical diffraction tomography to analyze astrocyte morphology changes in postnatal rat cortical astrocytes over 7 days in vitro, revealing dynamic shape transitions and cellular composition shifts.

CellSNAP improves 3D cell segmentation in quantitative phase imaging by being faster, more robust, and better at handling clumped cells and interferogram drifts.