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Vasundhara Agrawal is an Applications Manager for Spatial Biology Image Analysis at Leica Microsystems. She received her Ph.D. in Biomedical Engineering with specialization in Imaging and Biophotonics from Northwestern University. Her research expertise encompasses high-resolution molecular imaging, functional genomics, and physics-based statistical analysis to elucidate the intricacies of 3D genome architecture for applications in regenerative engineering. At Leica Microsystems, she works at the intersection of multiplexed whole-tissue imaging, AI-driven image analysis and spatial statistics to uncover molecular signatures and mechanisms underlying diverse biological models, including the tumor microenvironment in cancers originating from various sources, and neurodegenerative diseases such as Alzheimer's.
Alzheimer's disease, a genetic and sporadic neurodegenerative condition, leads to cognitive decline in mid to late life, marked by β-amyloid plaques and tau tangles. With limited treatment options,…
Pancreatic cancer, with a mortality rate near 40%, is challenging to treat due to its proximity to major organs. This story explores the complex biology of pancreatic ductal adenocarcinoma (PDAC),…
Colorectal cancer poses a significant health burden. While surgery is effective initially, some patients develop recurrent secondary disease with poor prognosis, necessitating advanced therapies like…
Spatial mapping of untreated tumors provides an overview of the tumor immune architecture, useful for understanding therapeutic responses. Immunocompetent murine models are essential for identifying…
Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by neurofibrillary tangles, β-amyloid plaques, and neuroinflammation. These dysfunctions trigger or are exacerbated by…
Alzheimer’s disease (AD) is the most common neurodegenerative disease and is characterized by the progressive decline of cognitive function. Spatial profiling of AD brain may reveal cellular…
In this application note, we demonstrate a spatial biology workflow via an AI-powered multiplexed image analysis-based exploration of the tumor immune microenvironment in colon adenocarcinoma.
Discover deep insights in colon adenocarcinoma and other immuno-oncology realms through the potent combination of multiplexed imaging of Cell DIVE and Aivia AI-based image analysis
Dig deep into the spatial biology of cancer progression and mouse immune-oncology in this poster, and learn how tumor metabolism can effect immune cell function.
