ライフサイエンス

ライフサイエンス

ライフサイエンス

様々な科学分野における顕微鏡の知識、研究技術、そして実用的な応用を深めるための場です。正確な観察、画像解析、そして研究の進歩を実現する方法を学びましょう。高度な顕微鏡技術、イメージング技術、サンプル前処理、画像解析に関する専門的な知見を提供します。最先端のアプリケーションやイノベーションを中心に、細胞生物学、神経科学、がん研究などの分野を幅広くカバーしています。
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…

How FLIM Microscopy Helps to Detect Microplastic Pollution

The use of autofluorescence in biological samples is a widely used method to gain detailed knowledge about systems or organisms. This property is not only found in biological systems, but also…

Step by Step Guide for FRAP Experiments

Fluorescence Recovery After Photobleaching (FRAP) has been considered the most widely applied method for observing translational diffusion processes of macromolecules. The resulting information can be…
Eukaryotic cells

Widefield Calcium Imaging with Calcium Indicator Fura2

In eukaryotic cells Ca2+ is one of the most widespread second messengers used in signal transduction pathways. Intracellular levels of Ca2+ are usually kept low, as Ca2+ often forms insoluble…
Sub-Femtolitre volume_Fluorescence correlation spectroscopy (FCS)

Fluorescence Correlation Spectroscopy (FCS)

Fluorescence correlation spectroscopy (FCS) measures fluctuations of fluorescence intensity in a sub-femtolitre volume to detect such parameters as the diffusion time, number of molecules or dark…
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