LIGHTNINGによって試料から最大限の情報を引き出す
LIGHTNINGは、他の方法では簡単に可視化できない、微細な構造や形態を完全自動で明らかにする、適応能力に優れた情報抽出プロセスです。 LIGHTNINGは、画像全体を同一のパラメーターで演算する従来型の手法とは異なり、ボクセル（3次元画素）ごとに適切なパラメーターを算出することによって、最高の忠実度であらゆる微細形態を明らかにします。
ウイルス学
ウイルス研究のためのイメージングと試料作製ソリューション
Microscopy in Virology
The coronavirus SARS-CoV-2, causing the Covid-19 disease effects our world in all aspects. Research to find immunization and treatment methods, in other words to fight this virus, gained highest…
Computational Clearing - Enhance 3D Specimen Imaging
This webinar is designed to clarify crucial specifications that contribute to THUNDER Imagers' transformative visualization of 3D samples and improvements within a researcher's imaging-related…
Explore Innovative Techniques to Separate Fluorophores with Overlapping Spectra
In this article we explore several strategies you can take to improve the separation of fluorophores and increase the number of fluorescent probes you can distinguish in your sample.
STELLARIS White Light Lasers
When it comes to choosing fluorescent probes for your multi-color experiments, you shouldn’t have to compromise. Now you can advance beyond conventional excitation sources that limit your fluorophore…
TauSense Technology Imaging Tools
Leica Microsystems’ TauSense technology is a set of imaging modes based on fluorescence lifetime. Found at the core of the STELLARIS confocal platform, it will revolutionize your imaging experiments.…
The Power HyD Detector Family
Powerful photon counting detectors on the STELLARIS confocal platform provide improved photon counting, ultra-sensitive imaging and more color options in the NIR spectrum.
がん研究
がんは、成長調節における欠損細胞によって引き起こされる複雑な異質性疾患です。 細胞または細胞群内の遺伝的および後成的変化が通常の機能を妨げ、自律的、非制御の細胞成長と増殖を引き起こします。
