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Science Lab
Science Lab
The knowledge portal of Leica Microsystems offers scientific research and teaching material on the subjects of microscopy. The content is designed to support beginners, experienced practitioners and scientists alike in their everyday work and experiments. Explore interactive tutorials and application notes, discover the basics of microscopy as well as high-end technologies – become part of the Science Lab community and share your expertise!
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![3D-volume-rendered light-sheet microscope image of a spheroid showing depth coding in different colors. 3D-volume-rendered light-sheet microscope image of a spheroid showing depth coding in different colors.](/fileadmin/_processed_/4/8/csm_Spheroid_showing_depth_coding_in_different_colors_3D_DLS_ff196ec61f.jpg)
Imaging of Anti-Cancer Drug Uptake in Spheroids using DLS
Spheroid 3D cell culture models mimic the physiology and functions of living tissues making them a useful tool to study tumor morphology and screen anti-cancer drugs. The drug AZD2014 is a recognized…
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![Spontaneous colon adenoma Spontaneous colon adenoma](/fileadmin/_processed_/6/a/csm_Spontaneous_colon_adenoma_f690742f92.jpg)
Intravital Microscopy of Cancer
Join our guest speaker Prof Dr Jacco van Rheenen, as he presents his work on the identity, behavior and fate of cells that drive the initiation and progression of cancer.
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![Colourised binary mask of a time-lapse microscopy field of view of medium confluency 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).](/fileadmin/_processed_/7/b/csm_Tracking_single_cells_using_deep_learning_teaser_22a3cd3352.jpg)
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…
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![Analysis of anatomy and axon orientation of an adult mouse brain tissue with QLIPP. Analysis of anatomy and axon orientation of an adult mouse brain tissue with QLIPP.](/fileadmin/_processed_/c/5/csm_Learning_the_Cellular_Architecture_from_its_Optical_Properties_teaser_6d470dadfa.jpg)
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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![Dynamic Signal Enhancement powered by Aivia: Truly simultaneous multicolor imaging of live cells (U2OS) in 3D Dynamic Signal Enhancement powered by Aivia: Truly simultaneous multicolor imaging of live cells (U2OS) in 3D](/fileadmin/_processed_/b/1/csm_How_Artificial_Intelligence_Enhances_Confocal_Imaging_teaser_bba50f917e.jpg)
Artificial Intelligence and Confocal Microscopy – What You Need to Know
This list of frequently asked questions provides “hands-on” answers and is a supplement to the introductory article about Dynamic Signal Enhancement powered by Aivia "How Artificial Intelligence…
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![Dynamic Signal Enhancement powered by Aivia: Truly simultaneous multicolor imaging of live cells (U2OS) in 3D Dynamic Signal Enhancement powered by Aivia: Truly simultaneous multicolor imaging of live cells (U2OS) in 3D](/fileadmin/_processed_/b/1/csm_How_Artificial_Intelligence_Enhances_Confocal_Imaging_teaser_bba50f917e.jpg)
How Artificial Intelligence Enhances Confocal Imaging
In this article, we show how artificial intelligence (AI) can enhance your imaging experiments. Namely, how Dynamic Signal Enhancement powered by Aivia improves image quality while capturing the…
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How to Successfully Perform Live-cell CLEM
The Leica Nano workflow provides a streamlined live-cell CLEM solution for getting insight bout structural changes of cellular components over time. Besides the technical handling described in the…
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![HeLa Kyoto cells 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.](/fileadmin/_processed_/6/a/csm_How_to_improve_live_cell_imaging_with_Leica_Nano_Workflow_teaser_6d36e3e6d8.jpg)
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…
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![The EM ICE Nano loading area The EM ICE Nano loading area](/fileadmin/_processed_/3/c/csm_Leica_EM_ICE_Samp-Link-Chamber_eb7fd5cf15.jpg)
How to Keep Your Samples Under Physiological Conditions
The Coral Life workflow combines dynamic data with the best possible sample fixation by high pressure freezing. However, good sample preservation won’t help if your cells are stressed by temperature…