Science Lab

Science Lab

Science Lab

Bienvenido al portal de conocimiento de Leica Microsystems. Aquí encontrará investigación científica y material didáctico sobre el tema de la microscopía. El portal ayuda a principiantes, profesionales experimentados y científicos por igual en su trabajo diario y en sus experimentos. Explore tutoriales interactivos y notas de aplicación, descubra los fundamentos de la microscopía, así como las tecnologías de gama alta. Forme parte de la comunidad Science Lab y comparta sus conocimientos.

A New Method for Convenient and Efficient Multicolor Imaging

The technique combining hyperspectral unmixing and phasor analysis was developed to simplify the process of getting images from a sample labeled with multiple fluorophores. This aggregate method…

Considerations for Multiplex Live Cell Imaging

Simultaneous multicolor imaging for successful experiments: Live-cell imaging experiments are key to understand dynamic processes. They allow us to visually record cells in their living state, without…
HeLa Kyoto cells (HKF1, H2B-mCherry, alpha Tubulin, mEGFP). Left image: Maximum projection of a z-stack prior to ICC and LVCC. Right image: Maximum projection of a mosaic z-stack after ICC and LVCC.

How to Improve Live Cell Imaging with Coral Life

For live-cell CLEM applications, light microscopy imaging is a critical step for identifying the right cell in the right state at the right time. In this article, Leica experts share their insights on…

Microscopios de campo oscuro

El método de contraste de campo oscuro aprovecha la difracción o dispersión de la luz de las estructuras de un espécimen biológico o las características no uniformes de una muestra de material.
Virally labeled neurons (red) and astrocytes (green) in a cortical spheroid derived from human induced pluripotent stem cells. THUNDER Model Organism Imager with a 2x 0.15 NA objective at 3.4x zoom was used to produce this 425 µm Z-stack (26 positions), which is presented here as an Extended Depth of Field (EDoF) projection. Images courtesy of Dr. Fikri Birey from the Dr. Sergiu Pasca laboratory at Stanford University, 3165 Porter Dr., Palo Alto, CA

Download The Guide to Live Cell Imaging

In life science research, live cell imaging is an indispensable tool to visualize cells in a state as in vivo as possible. This E-book reviews a wide range of important considerations to take to…
Mouse kidney section with Alexa Fluor™ 488 WGA, Alexa Fluor™ 568 Phalloidin, and DAPI. Sample is a FluoCells™ prepared slide #3 from Thermo Fisher Scientific, Waltham, MA, USA. Images courtesy of Dr. Reyna Martinez – De Luna, Upstate Medical University, Department of Ophthalmology.

The Power of Pairing Adaptive Deconvolution with Computational Clearing

Learn how deconvolution allows you to overcome losses in image resolution and contrast in widefield fluorescence microscopy due to the wave nature of light and the diffraction of light by optical…
Mouse lung sections

Studying Pulmonary Fibrosis

The results shown in this article demonstrate that fibrotic and non-fibrotic regions of collagen present in mouse lung tissue can be distinguished better with polarized light compared to brightfield.…
Mouse lymphnode acquired with a THUNDER Imager 3D Cell Culture. Image courtesy of Dr. Selina Keppler, Munich, Germany.

Image Gallery: THUNDER Imager

To help you answer important scientific questions, THUNDER Imagers eliminate the out-of-focus blur that clouds the view of thick samples when using camera-based fluorescence microscopes. They achieve…
Mouse retina was fixed and stained by following reagents: anti-CD31 antibody (green): Endothelia cells, IsoB4 (red): Blood vessels, and microglia anti-GFAP antibody (blue): Astrocytes Sample courtesy by Jeremy Burton, PhD and Jiyeon Lee, PhD, Genentech Inc., South San Francisco, USA. Imaged by Olga Davydenko, PhD (Leica). Imaged with a THUNDER Imager 3D Cell Culture.

An Introduction to Computational Clearing

Many software packages include background subtraction algorithms to enhance the contrast of features in the image by reducing background noise. The most common methods used to remove background noise…
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