G. Acharya

Super-resolution histology of paraffin-embedded samples via photonic chip-based microscopy

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.

Multi-omics approach reveals dysregulated genes during hESCs neuronal differentiation exposure to paracetamol

This study uses a multi-omics approach to investigate how paracetamol exposure affects neuronal differentiation of human embryonic stem cells, identifying dysregulated genes and chromatin changes linked to neurodevelopmental outcomes.

An FcRn-targeted mucosal vaccine against SARS-CoV-2 infection and transmission

This study develops an FcRn-targeted mucosal vaccine that reduces SARS-CoV-2 infection and transmission in mice and hamsters by inducing protective immune responses in the airways.

A multi-omics approach to visualize early neuronal differentiation in 4D

This paper develops a multi-omics protocol to study early human neuronal differentiation, identifying transcriptional waves and providing tools for data exploration.

Robust and reproducible neuronal differentiation of human embryonic stem cells for neurotoxicology

This paper describes a robust neuronal differentiation protocol from human embryonic stem cells for neurotoxicology, including optimized culture conditions and validation methods.

Photonic chip-based multimodal super-resolution microscopy for histopathological assessment of cryopreserved tissue sections

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

Visualizing ultrastructural details of placental tissue with super-resolution structured illumination microscopy

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.

Quantitative assessment of morphology and sub-cellular changes in macrophages and trophoblasts during inflammation

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.