Medizinische Fachgebiete

Medizinische Fachgebiete

Medizinische Fachgebiete

Entdecken Sie eine umfassende Sammlung wissenschaftlicher und klinischer Ressourcen, die speziell für Ärzte im Gesundheitswesen entwickelt wurden, darunter Berichte von Kollegen, klinische Fallstudien und Symposien. Speziell für Neurochirurgen, Augenärzte, plastische und rekonstruktive Chirurgen, HNO-Ärzte und Zahnärzte. Diese Sammlung präsentiert die neuesten Fortschritte in der chirurgischen Mikroskopie. Entdecken Sie, wie modernste chirurgische Technologien wie AR-Fluoreszenz, 3D-Visualisierung und intraoperative OCT-Bildgebung eine sichere Entscheidungsfindung und Präzision bei komplexen Eingriffen ermöglichen.

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.
Intestinal organoids label with FUCCI reporter to follow cell cycle dynamics. Courtesy of Franziska Moos. Liberali lab. FMI Basel (Switzerland).

Dual-View LightSheet Microscope for Large Multicellular Systems

Visualizing the dynamics of complex multicellular systems is a fundamental goal in biology. To address the challenges of live imaging over large spatiotemporal scales, Franziska Moos et. al. present…

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

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
Multicolor fixed STED image. Inner ear section, mouse, TauSTED Xtend 589 on AF488 and TauSTED Xtend 775 on AF633-Phalloidin. Sample courtesy of Dennis Derstrof, Klinik für Hals-, Nasen und Ohrenheilkunde, Universität Marburg & Prof. Dr. Dominik Oliver aus dem Institut für Physiologie und Pathophysiologie, Abteilung für Neurophysiologie, Universität Marburg.

Extended Live-cell Imaging at Nanoscale Resolution

Extended live-cell imaging with TauSTED Xtend. Combined spatial and lifetime information allow super-resolution microscopy at extremely low light dose.

Accelerating Discovery for Multiplexed Imaging of Diverse Tissues

Explore IBEX: Open-source multiplexed imaging. Join the collaborative IBEX Imaging Community for optimized tissue processing, antibody selection, and human atlas construction.
2D slice of colon cancer tissue stained with 30 markers and imaged using the Cell DIVE system. Analysis performed using Aivia 13’s new multiplex cell detection recipe and automatic clustering tool. Each phenotype denoted in a different color.

Transforming Multiplexed 2D Data into Spatial Insights Guided by AI

Aivia 13 handles large 2D images and enables researchers to obtain deep insights into microenvironment surrounding their phenotypes with millions of detected objects and automatic clustering up to 30…
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