Science Lab

Benvenuti nel portale delle conoscenze di Leica Microsystems. Troverete materiale didattico e di ricerca scientifica sul tema della microscopia. Il portale supporta i principianti, i professionisti esperti e gli scienziati nel loro lavoro quotidiano e negli esperimenti. Esplorate i tutorial interattivi e le note applicative, scoprite le basi della microscopia e le tecnologie di punta. Entrate a far parte della comunità di Science Lab e condividete la vostra esperienza.

Pollen Flower - Taken with a 20x/0.8 objective, area of 6mm² with a depth of 100μm. 15 stitched tiles with 4 colors (DAPI/GFP/TRITC/Cy5) - a total of 13020 images. Video courtesy of James Marr, Leica Microsystems, USA

Developmental Biology Image Gallery

Developmental biology explores the development of complex organisms from the embryo to adulthood to understand in detail the origins of disease. This category of the gallery shows images about…

Putting Dynamic Live Cell Data into the Ultrastructural Context

With workflow Coral Life, searching for a needle in the haystack is a thing of the past. Take advantage of correlative light and electron microscopy to identify directly the right cell at the right…

Contrasto di fase

Grazie al microscopio ottico a contrasto di fase è possibile visualizzare le strutture di molti tipi di campioni biologici con maggior contrasto senza la necessità di utilizzare le colorazioni.

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…

Improvement of Imaging Techniques to Understand Organelle Membrane Cell Dynamics

Understanding cell functions in normal and tumorous tissue is a key factor in advancing research of potential treatment strategies and understanding why some treatments might fail. Single-cell…

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…

From Organs to Tissues to Cells: Analyzing 3D Specimens with Widefield Microscopy

Obtaining high-quality data and images from thick 3D samples is challenging using traditional widefield microscopy because of the contribution of out-of-focus light. In this webinar, Falco Krüger…

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…