Sciences de la vie | Apprendre et partager | Leica Microsystems

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.

3D-volume-rendered light-sheet microscope image of a spheroid showing depth coding in different colors.

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…

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.

Spontaneous colon adenoma

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.

Aivia_Neuroscience-VBE comparison mouse-1_traced_ROI

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…

Separation of cells based on their tracking status: A colourised binary mask of a time-lapse microscopy field of view of medium confluency with individual cells highlighted as survivors if they can be tracked since the initial movie frame (cyan), incomers if they migrated into the field of view throughout the movie (yellow) or mistracks if an error occurred in the automated trajectory reconstruction (red).

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…

Analysis of anatomy and axon orientation of an adult mouse brain tissue with QLIPP.

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…

Dynamic Signal Enhancement powered by Aivia: Truly simultaneous multicolor imaging of live cells (U2OS) in 3D

Artificial Intelligence and Confocal Microscopy – What You Need to Know

This list of frequently asked questions provides “hands-on” answers and is a supplement to the introductory article about Dynamic Signal Enhancement powered by Aivia "How Artificial Intelligence…

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…

Designing your Research Study with Multiplexed IF Imaging

Multiplexed tissue analysis is a powerful technique that allows comparisons of cell-type locations and cell-type interactions within a single fixed tissue sample. It is common for researchers to ask…