Science Lab

Science Lab

Science Lab

Das Wissensportal von Leica Microsystems bietet Ihnen Wissens- und Lehrmaterial zu den Themen der Mikroskopie. Die Inhalte sind so konzipiert, dass sie Einsteiger, erfahrene Praktiker und Wissenschaftler gleichermaßen bei ihrem alltäglichen Vorgehen und Experimenten unterstützen. Entdecken Sie interaktive Tutorials und Anwendungsberichte, erfahren Sie mehr über die Grundlagen der Mikroskopie und High-End-Technologien - werden Sie Teil der Science Lab Community und teilen Sie Ihr Wissen!
Documentation of an automotive clutch friction surface with a digital microscope

Automotive Part Verification and Development according to Specifications

Automotive part verification during the development and production of parts and components by suppliers or manufacturers is important for ensuring that specifications are met. Specifications are…
40x magnification of organoids cluster taken on Mateo TL.Cell type: esophageal squamous carcinoma; scale bar 15µm. Courtesy of bioGenous, China.

Overcoming Observational Challenges in Organoid 3D Cell Culture

Learn how to overcome challenges in observing organoid growth. Read this article and discover new solutions for real-time monitoring which do not disturb the 3D structure of the organoids over time.
Image of a Siemens star, where the diameter of the 1st black line circle is 10 mm and the 2nd is 20 mm, taken via an eyepiece of a M205 A stereo microscope. The rectangles represent the field of view (FOV) of a Leica digital camera when installed with various C-mounts (red 0.32x, blue 0.5x, green 0.63x).

Understanding Clearly the Magnification of Microscopy

To help users better understand the magnification of microscopy and how to determine the useful range of magnification values for digital microscopes, this article provides helpful guidelines.
Geringe Vergrößerung DVM6-Bild eines Teils der PCBA-Probe.

Schnelle und zuverlässige Untersuchung von Leiterplatten und Leiterplattenbaugruppen mittels Digitalmikroskopie

Digitalmikroskope bieten Anwendern eine bequeme und schnelle Möglichkeit zur Erfassung hochwertiger, zuverlässiger Bilddaten und zur schnellen Inspektion und Analyse von Leiterplatten (PCBs) und…
The Emspira 3 digital microscope offers what users need for comprehensive visual inspection, including comparison, measurement, and documentation sharing.

Digital Inspection Microscope for Industrial Applications

Factors users should consider before choosing a digital inspection microscope for industrial applications, including quality control (QC), failure analysis (FA), and R&D, are described in this…
Inspection microscope image of a printed circuit board (PCB) taken with a ring light (RL) and near vertical illumination (NVI).

Microscope Illumination for Industrial Applications

Inspection microscope users can obtain information from this article which helps them choose the optimal microscope illumination or lighting system for inspection of parts or components.
Acute lymphoblastic leukemia

How to Benefit from Digital Cytopathology

If you have thought of digital cytopathology as characterized by the digitization of glass slides, this webinar with Dr. Alessandro Caputo from the University Hospital of Salerno, Italy will broaden…
Electronic component

Top Challenges for Visual Inspection

This article discusses the challenges encountered when performing visual inspection and rework using a microscope. Using the right type of microscope and optical setup is paramount in order to…
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…
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