Arindam Bose , Ph.D.
Arindam Bose, Ph.D., is the Lead Scientist for the Cell DIVE Multiplexed Imaging Solution at Leica Microsystems. He earned his doctoral degree in biological chemistry from the University of Connecticut and did postdoctoral study at the University of Pittsburgh before joining Harvard Medical School. Arindam is a cross-disciplinary trained scientist with extensive experience in translational cancer research integrating basic cancer research discovery with experimental therapeutics and clinical trials. Currently, he is spearheading the spatial proteomics research operation at Leica Microsystems and investigating how tissue dynamics vary within their specific and unique spatial context.
Multiplexed Imaging Reveals Tumor Immune Landscape in Colon Cancer
Cancer immunotherapy benefits few due to resistance and relapse, and combinatorial therapeutic strategies that target multiple steps of the cancer-immunity cycle may improve outcomes. This study shows…
AI-Powered Hi-Plex Spatial Analysis Tools for Breast Cancer Research
Breast cancer (BC) is the leading cause of cancer-related deaths in women. Investigating the tumor microenvironment (TME) is crucial to elucidate the mechanisms of tumor progression. Systematic…
Explore Alzheimer's Spatial Proteome with Big Data
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,…
Dive into Pancreatic Cancer Research with Big Data
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),…
Uncover the Hidden Complexity of Colon Cancer with Big Data
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…
Mapping Tumor Immune Landscape with AI-Powered Spatial Proteomics
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…
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…
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.
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
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
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.
The Shape of the Brain: Spatial Biology of Alzheimer’s Disease
Uncover cell identity and brain structure in Alzheimer's disease with Cell DIVE multiplexed imaging, demonstrating how spatial biology can lead to advances in therapy development for…
