Sciences de la vie

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.

Super-Resolution Microscopy Image Gallery

Due to the diffraction limit of light, traditional confocal microscopy cannot resolve structures below ~240 nm. Super-resolution microscopy techniques, such as STED, PALM or STORM or some…
Microscope equipped with a K7 color CMOS camera for life-science and industry imaging applications.

Technical Terms for Digital Microscope Cameras and Image Analysis

Learn more about the basic principles behind digital microscope camera technologies, how digital cameras work, and take advantage of a reference list of technical terms from this article.
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…
Image of fixed U2OS cell expressing mEmerald-Tomm20 denoised using a 3D RCAN model trained with matching low and high SNR image pairs acquired on an iSIM system.

AI Microscopy Image Analysis – An Introduction

Artificial intelligence-guided microscopy image analysis and visualization is a powerful tool for data-driven scientific discovery. AI can help researchers tackle challenging imaging applications,…

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…
H&E stained micrograph of an intramucosal esophageal adenocarcinoma (left) enhanced with Aivia’s Pixel Classifier (right)

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.
Single timepoint of a time-lapse recording of mammary epithelial micro spheroid cultured in 3D highlighting individual mitotic events

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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