Science Lab

Science Lab

Science Lab

Bienvenido al portal de conocimiento de Leica Microsystems. Aquí encontrará investigación científica y material didáctico sobre el tema de la microscopía. El portal ayuda a principiantes, profesionales experimentados y científicos por igual en su trabajo diario y en sus experimentos. Explore tutoriales interactivos y notas de aplicación, descubra los fundamentos de la microscopía, así como las tecnologías de gama alta. Forme parte de la comunidad Science Lab y comparta sus conocimientos.
Single timepoint of a drosophilia embryo, 3D object detection

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…
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.
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…

Fluorescence Lifetime-based Imaging Gallery

Confocal microscopy relies on the effective excitation of fluorescence probes and the efficient collection of photons emitted from the fluorescence process. One aspect of fluorescence is the emission…
Diagram showing the scope of the regulations and guidelines for electronic records mentioned in 21 CFR Part 11 (Code of Federal Regulations Title 21, Part 11) which is published by the US FDA (Food & Drug Administration).

Introduction to 21 CFR Part 11 and Related Regulations

This article provides an overview of regulations and guidelines for electronic records (data entry, storage, signatures, and approvals) used in the USA (21 CFR Part 11), EU (GMP Annex 11), and China…
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