Life Science Research
Life Science Research
This is the place to expand your knowledge, research capabilities, and practical applications of microscopy in various scientific fields. Learn how to achieve precise visualization, image interpretation, and research advancements. Find insightful information on advanced microscopy, imaging techniques, sample preparation, and image analysis. Topics covered include cell biology, neuroscience, and cancer research with a focus on cutting-edge applications and innovations.
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…
A Guide to Neuroscience Research
Neuroscience often requires investigating challenging specimens to better understand the nervous system and disorders. Leica microscopes helps neuroscientists obtain insights into neuronal functions.
How to Streamline High-Plex Imaging for 3D Spatial Omics Advances
In this webinar, Dr. Julia Roberti and Dr. Luis Alvarez from Leica Microsystems introduce SpectraPlex, a new functionality integrated into the STELLARIS confocal platform for high-plex 3D spatial…
Transforming Research with Spatial Proteomics Workflows
Spatial Proteomics, Nature Methods 2024 Method of the Year, is driving research advancements in cancer, immunology, and beyond. By combining positional data with high throughput imaging of proteins in…
Get to Insights Faster and Easier with AI Image Analysis Tools
Discover how Aivia helps scientists streamline image analysis with fast setup, accurate AI detection, and easy batch processing.
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…
Deep Visual Proteomics Provides Precise Spatial Proteomic Information
Despite the availability of imaging methods and mass spectroscopy for spatial proteomics, a key challenge that remains is correlating images with single-cell resolution to protein-abundance…
