Vasundhara Agrawal , PhD

Vasundhara Agrawal

Vasundhara Agrawal ist Applikationsmanagerin für räumliche biologische Bildanalyse bei Leica Microsystems. Sie promovierte in Biomedizintechnik mit Spezialisierung auf Bildgebung und Biophotonik an der Northwestern University. Ihre Forschungsschwerpunkte sind hochauflösende molekulare Bildgebung, funktionelle Genomik und physikalisch basierte statistische Analysen, um die Feinheiten der 3D-Genomarchitektur für Anwendungen in der regenerativen Medizin zu erforschen. Bei Leica Microsystems arbeitet sie an der Schnittstelle zwischen multiplexer Ganzgewebe-Bildgebung, KI-gesteuerter Bildanalyse und räumlicher Statistik, um molekulare Signaturen und Mechanismen aufzudecken, die verschiedenen biologischen Modellen zugrunde liegen, darunter die Tumormikroumgebung bei Krebserkrankungen unterschiedlicher Herkunft und neurodegenerative Krankheiten wie Alzheimer.

Multiplexed Cell DIVE imaging of Adult Human Alzheimer’s brain tissue section demonstrating expression of markers specific to astrocytes (GFAP, S100B), microglia (TMEM119, IBA1), AD-associated markers (p-Tau217, β-amyloid) and immune cells such as CD11b+, CD163+, CD4+, and HLA-DRA+, clustered around the β-amyloid plaques.

Spatial Analysis of Neuroimmune Interactions in Alzheimer’s Disease

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…

Multiplexed Cell DIVE imaging to characterize the spatial landscape in Human Alzheimer’s Cortical Tissue

Probing Human Alzheimer's Cortical Section using Spatial Multiplexing

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…

Multiplexed Cell DIVE imaging to characterize the tumor immune microenvironment in human colon adenocarcinoma (CAC) tissue.

AI-Powered Multiplexed Image Analysis to Explore Colon Adenocarcinoma

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.

Multiplexed Cell DIVE imaging of selected clusters and unique cell populations identified in mucinous cystadenocarcinoma of the ovary.

A Meta-cancer Analysis of the Tumor Spatial Microenvironment

Learn how clustering analysis of Cell DIVE datasets in Aivia can be used to understand tissue-specific and pan-cancer mechanisms of cancer progression

Multiplexed Cell DIVE imaging of Colon Adenocarcinoma (CAC) tissue. A panel of approximately 30 biomarkers targeted towards various leukocyte lineages, epithelial, stromal, and endothelial cell types was utilized to characterize the tumor immune microenvironment in human colon adenocarcinoma (CAC) tissue.

Mapping the Landscape of Colorectal Adenocarcinoma with Imaging and AI

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

Clustering based analysis reveals various immune cell populations enriched in tumor cells within CT26.WT syngeneic mouse tumor models.

Spatial Architecture of Tumor and Immune Cells in Tumor Tissues

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.