Michael Smith , Ph.D.
Michael Smith, Ph.D., ist Application Manager für die Cell DIVE Multiplexed Imaging Solution bei Leica Microsystems. Er promovierte auf dem Gebiet der Genetik der DNA-Reparatur an der Columbia University und absolvierte ein Postdoc-Stipendium für Genomintegrität und Zellalterung am Memorial Sloan Kettering Cancer Center, wo er die Mikroskopie nutzte, um die Echtzeit-Dynamik der DNA-Homöostase zu erforschen. Seine Leidenschaft für die Beantwortung biologischer Fragen mithilfe von Bildgebungstechnologien führte ihn zu seiner jetzigen Position, wo er technisches Fachwissen und Kundensupport für die Cell DIVE-Plattform anbietet.
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…
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…
Empowering Spatial Biology with Open Multiplexing and Cell DIVE
Spatial biology and multiplexed imaging workflows have become important in immuno-oncology research. Many researchers struggle with study efficiency, even with effective tools and protocols. Here, we…
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
IBEX, Cell DIVE, and RNA-Seq: A Multi-omics Approach to Follicular Lymphoma
In a recent study by Radtke et al., a multi-omics spatial biology approach helps shed light on early relapsing lymphoma patients
Räumliche Biologie: Erwägung neuer Wege
Räumliche Biologie: Forschung zu Anordnung und Interaktion von Molekülen, Zellen und Geweben in ihrem nativen räumlichen Kontext
Complex Made Simple: Antibodies in Multiplexed Imaging
Build panels, plan studies, and get the most from precious reagents using this antibody multiplexing guide from Leica Microsystems
Multiplexed Imaging Types, Benefits and Applications
Multiplexed imaging is an emerging and exciting way to extract information from human tissue samples by visualizing many more biomarkers than traditional microscopy. By observing many biomarkers…
