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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…

How to Use a Digital Microscope to Streamline Inspection Processes

Watch this webinar for inspiration and expert advice on how to make quality control simpler, quicker, and easier. Learn how to perform comprehensive visual inspection, including comparison,…

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…

High-resolution 3D Imaging to Investigate Tissue Ageing

Award-winning researcher Dr. Anjali Kusumbe demonstrates age-related changes in vascular microenvironments through single-cell resolution 3D imaging of young and aged organs.

How to Successfully Implement Coral Life

The live-cell  CLEM workflow allows you to capture dynamic information related to a relevant biological process as it happens and put these observations into their ultrastructural context. The Leica…
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