Scienze della vita

Scienze della vita

Scienze della vita

Questo è il posto giusto per ampliare le vostre conoscenze, le capacità di ricerca e le applicazioni pratiche della microscopia in vari campi scientifici. Imparate come ottenere una visualizzazione precisa, l'interpretazione delle immagini e i progressi della ricerca. Troverete informazioni approfondite sulla microscopia avanzata, sulle tecniche di imaging, sulla preparazione dei campioni e sull'analisi delle immagini. Gli argomenti trattati comprendono la biologia cellulare, le neuroscienze e la ricerca sul cancro, con particolare attenzione alle applicazioni e alle innovazioni più avanzate.

Integrated Serial Sectioning and Cryo-EM Workflows for 3D Biological Imaging

This on-demand webinar explores how integrated tools can support electron microscopy workflows from sample preparation to image analysis. Experts Andreia Pinto, Adrian Boey, and Hoyin Lai present the…
Cell DIVE multiplexed image of FFPE tissue section from human colon adenocarcinoma tissue.

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…
Cell DIVE multiplexed image of FFPE tissue section from human invasive ductal carcinoma (IDC)

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…
3D high-plex imaging in cancer immunology. Overview of a pancreatic tumor section in mouse model, labeled with 15 markers and imaged in one go using STELLARIS with SpectraPlex. (https://www.nature.com/articles/d42473-024-00260-7)

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…
Pancreatic Ductal Adenocarcinoma with 11 Apoptosis biomarkers shown – BAK, BAX, BCL2, BCLXL, Caspase9, CIAP1, NaKATPase, PCK26, SMAC, Vimentin, and XIAP.

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…
Large volume computational clearing processed Thunder image of human pancreatic islet organoid. Cells segmented using Segment By Example tool, automatically phenotyped, and color-coded based on phenotypes in Aivia. Image courtesy of the Matthias von Herrath Lab, La Jolla Institute of Immunology, La Jolla, CA.

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.
Transfection using the Uncommon Bio reprogramming system. Image acquired using the THUNDER Imager 3D Cell Culture with THUNDER Large Volume Computational Clearing (LVCC) applied. Image courtesy of Samuel East, Uncommon Bio.

Designing the Future with Novel and Scalable Stem Cell Culture

Visionary biotech start-up Uncommon Bio is tackling one of the world’s biggest health challenges: food sustainability. In this webinar, Stem Cell Scientist Samuel East shows how they make stem cell…
Multiplexed Cell DIVE imaging of Adult Human Alzheimer’s Brain Tissue labelled with 15 antibodies targeted towards markers specific to astrocytes (GFAP, S100B), microglia (TMEM119, IBA1), and Alzheimer’s-associated markers (β-amyloid and p-Tau217).

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,…
Pancreatic Ductal Adenocarcinoma with 11 Aerobic Glycolysis/Warburg Effect biomarkers shown – BCAT, Glut1, HK2, HTR2B, LDHA, NaKATPase, PCAD, PCK26, PKM2, SMA1, and Vimentin.

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),…
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