
Sciences de la vie
Sciences de la vie
C'est ici que vous pourrez développer vos connaissances, vos capacités de recherche et les applications pratiques de la microscopie dans divers domaines scientifiques. Apprenez à obtenir une visualisation précise, à interpréter les images et à faire progresser la recherche. Trouvez des informations pertinentes sur la microscopie avancée, les techniques d'imagerie, la préparation des échantillons et l'analyse des images. Les sujets abordés comprennent la biologie cellulaire, les neurosciences et la recherche sur le cancer, en mettant l'accent sur les applications et les innovations de pointe.
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Considerations for Multiplex Live Cell Imaging
Simultaneous multicolor imaging for successful experiments: Live-cell imaging experiments are key to understand dynamic processes. They allow us to visually record cells in their living state, without…
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Simplifying the Cancer Biology Image Analysis Workflow
As cancer biology data sets grow, so do the challenges in microscopy image analysis. Aivia experts cover how to overcome these challenges with AI.
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Examining Critical Developmental Events in High-Definition
Extended live cell imaging of embryo development requires a delicate balance between light exposure, temporal resolution and spatial resolution to maintain cells’ viability. Compromises between the…
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Imaging of Anti-Cancer Drug Uptake in Spheroids using DLS
Spheroid 3D cell culture models mimic the physiology and functions of living tissues making them a useful tool to study tumor morphology and screen anti-cancer drugs. The drug AZD2014 is a recognized…
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Observing Complex Cellular Interactions at Multiple Scales
Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.
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Intravital Microscopy of Cancer
Join our guest speaker Prof Dr Jacco van Rheenen, as he presents his work on the identity, behavior and fate of cells that drive the initiation and progression of cancer.
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Accelerating Neuron Image Analysis with Automation
The ability to examine complex neural processes relies on the accurate reconstruction of neuronal networks at scale. Most data extraction methods in neuroscience research are time-consuming and…
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Tracking Single Cells Using Deep Learning
AI-based solutions continue to gain ground in the field of microscopy. From automated object classification to virtual staining, machine and deep learning technologies are powering scientific…
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Learning the Cellular Architecture from its Optical Properties
In the last 3 years, microscopists have started to use "AI based" solutions for a wide range of applications, including image acquisition optimization (smart microscopy), object classification, image…