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.
Protist Paramecium (Paramecium tetraurelia) stained to show the nucleus

3D Spatial Analysis Using Mica's AI-Enabled Microscopy Software

This video offers practical advice on the extraction of publication grade insights from microscopy images. Our special guest Luciano Lucas (Leica Microsystems) will illustrate how Mica’s AI-enabled…
Left-hand image: The distribution of immune cells (white) and blood vessels (pink) in white adipose tissue (image captured using the THUNDER Imager 3D Cell Culture). Right-hand image: The same image after automated analysis using Aivia, with each immune cell color-coded based on its distance to the nearest blood vessel. Image courtesy of Dr. Selina Keppler, Munich, Germany.

How to Remove Out-Of-Focus Blur and Improve Segmentation Accuracy

The specificity of fluorescence microscopy allows researchers to accurately observe and analyze biological processes and structures quickly and easily, even when using thick or large samples. However,…

The AI-Powered Pixel Classifier

Achieving reproducible results manually requires expertise and is tedious work. But now there is a way to overcome these challenges by speeding up this analysis to extract the real value of the image…

Using Machine Learning in Microscopy Image Analysis

Recent exciting advances in microscopy technologies have led to exponential growth in quality and quantity of image data captured in biomedical research. However, analyzing large and increasingly…

Applying AI and Machine Learning in Microscopy and Image Analysis

Prof. Emma Lundberg is a professor in cell biology proteomics at KTH Royal Institute of Technology, Sweden. She is also the director of the Cell Atlas, an integral part of the Swedish-based Human…
Dynamic Signal Enhancement powered by Aivia: Truly simultaneous multicolor imaging of live cells (U2OS) in 3D

How Artificial Intelligence Enhances Confocal Imaging

In this article, we show how artificial intelligence (AI) can enhance your imaging experiments. Namely, how Dynamic Signal Enhancement powered by Aivia improves image quality while capturing the…
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