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Science Lab
Science Lab
Das Wissensportal von Leica Microsystems bietet Ihnen Wissens- und Lehrmaterial zu den Themen der Mikroskopie. Die Inhalte sind so konzipiert, dass sie Einsteiger, erfahrene Praktiker und Wissenschaftler gleichermaßen bei ihrem alltäglichen Vorgehen und Experimenten unterstützen. Entdecken Sie interaktive Tutorials und Anwendungsberichte, erfahren Sie mehr über die Grundlagen der Mikroskopie und High-End-Technologien - werden Sie Teil der Science Lab Community und teilen Sie Ihr Wissen!
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Using Machine Learning in Microscopy Image Analysis
Recent exciting advances in microscopy technologies have led to exponential growth in quality and quantity of image data captured in biomedical research. However, analyzing large and increasingly…
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Applying AI and Machine Learning in Microscopy and Image Analysis
Prof. Emma Lundberg is a professor in cell biology proteomics at KTH Royal Institute of Technology, Sweden. She is also the director of the Cell Atlas, an integral part of the Swedish-based Human…
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![H&E stained micrograph of an intramucosal esophageal adenocarcinoma (left) enhanced with Aivia’s Pixel Classifier (right) H&E stained micrograph of an intramucosal esophageal adenocarcinoma (left) enhanced with Aivia’s Pixel Classifier (right)](/fileadmin/_processed_/5/4/csm_Aivia_Image_Analysis_Workshop_-_Cancer_e2259a2aee.png)
Simplifying the Cancer Biology Image Analysis Workflow
As cancer biology data sets grow, so do the challenges in microscopy image analysis. Aivia experts cover how to overcome these challenges with AI.
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![Single timepoint of a drosophilia embryo, 3D object detection Single timepoint of a drosophilia embryo, 3D object detection](/fileadmin/_processed_/a/a/csm_Drosophila_Embryo_3D_Object_Detection_Color_by_Measure_099cd5e9de.jpg)
Examining Critical Developmental Events in High-Definition
Extended live cell imaging of embryo development requires a delicate balance between light exposure, temporal resolution and spatial resolution to maintain cells’ viability. Compromises between the…
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![Single timepoint of a time-lapse recording of mammary epithelial micro spheroid cultured in 3D highlighting individual mitotic events Single timepoint of a time-lapse recording of mammary epithelial micro spheroid cultured in 3D highlighting individual mitotic events](/fileadmin/_processed_/f/9/csm_Cellular_Interactions_-_Hero_Aivia_Visual_teaser_ec6def9a71.jpg)
Observing Complex Cellular Interactions at Multiple Scales
Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.
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![Aivia_Neuroscience-VBE comparison mouse-1_traced_ROI Aivia_Neuroscience-VBE comparison mouse-1_traced_ROI](/fileadmin/_processed_/3/2/csm_Accelerating_Neuron_Image_Analysis_with_Automation_teaser_4ced42459f.jpg)
Accelerating Neuron Image Analysis with Automation
The ability to examine complex neural processes relies on the accurate reconstruction of neuronal networks at scale. Most data extraction methods in neuroscience research are time-consuming and…
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Save Time and Effort with AI-assisted Fluorescence Image Analysis
The powerful synergy of THUNDER and Aivia analyze fluorescence images with greater accuracy, even when using low light excitation.
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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_a66bd5e2a9.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_4479e6abd5.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…