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10 May 2024

THUNDER 全国用户会

China Webinar
Application example of hyperspectral imaging

Potential of Multiplex Confocal Imaging for Cancer Research and Immunology

Explore the new frontiers of multi-color fluorescent imaging: from image acquisition to analysis
In vivo imaging of a mouse pial and cortical vasculature through a glass window (ROSAmT/mG::Pdgfb-CreERT2 mouse meningeal and cortical visualization following tamoxifen induction and craniotomy). Courtesy: Thomas Mathivet, PhD

Windows on Neurovascular Pathologies

Discover how innate immunity can sustain deleterious effects following neurovascular pathologies and the technological developments enabling longitudinal studies into these events.
Lifetime-based multiplexing in live cells using TauSeparation. Mammalian cells expressing LifeAct-GFP (ibidi GmbH) and labelled with MitoTracker Green. Acquisition with one detector, intensity information shown in grey. The two markers can be separated using lifetime information: LifeAct-GFP (cyan), MitoTracker Green (magenta). Image acquired with STELLARIS 5.

The Power of Reproducibility, Collaboration and New Imaging Technologies

In this webinar you willl learn what impacts reproducibility in microscopy, what resources and initiatives there are to improve education and rigor and reproducibility in microscopy and how…
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…
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