B. S. Ahluwalia

This paper introduces a photonic chip-based microscopy method for super-resolution imaging of FFPE tissue sections, demonstrating improved contrast and compatibility with histological workflows.

This paper develops SERS nano-bowls for capturing and analyzing extracellular vesicles and liposomes in suspension, demonstrating improved detection and spectral characterization.

This paper develops a SERS chip combined with machine learning to rapidly identify and classify bacteria at species and strain levels, including antibiotic-resistant strains.

The paper examines the effects of caffeine and other xanthines on liver sinusoidal endothelial cell ultrastructure, finding no toxic effects but changes in fenestration frequency and porosity at high concentrations.

This paper combines quantitative phase microscopy and deep learning with whole-genome sequencing to rapidly detect infections and antimicrobial resistance in clinical samples.

This study investigates keratocyte migration in Atlantic salmon explant cultures using DIC microscopy, observing complex cell interactions and behaviors during wound healing.

This study validates a photonic chip-based super-resolution microscopy platform for high-throughput multimodal histopathological analysis of cryopreserved tissue samples.

This paper presents a low-cost, 3D-printed super-resolution microscope using a cellphone for imaging and processing, achieving 100nm resolution and enabling live imaging of SARS-CoV-2 viroids.

The paper describes sample preparation and acquisition parameters for super-resolution structured illumination microscopy (SIM) of placental tissue and demonstrates its ability to resolve ultrastructural details previously only visible with electron microscopy.

The paper quantifies morphological and sub-cellular changes in macrophages and trophoblasts during inflammation using advanced microscopy and machine learning to detect inflammation with high accuracy.