
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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Exploring Subcellular Spatial Phenotypes with SPARCS
Discover spatially resolved CRISPR screening (SPARCS), a platform for microscopy-based genetic screening for spatial subcellular phenotypes at the human genome scale.
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Unlocking Insights in Complex and Dense Neuron Images Guided by AI
The latest advancement in Aivia AI image analysis software provides improved soma detection, additional flexibility in neuron tracing, 3D relational measurement including Sholl analysis and more.
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AI Microscopy Enables the Efficient Detection of Rare Events
Localization and selective imaging of rare events is key for the investigation of many processes in biological samples. Yet, due to time constraints and complexity, some experiments are not feasible…
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How is Microscopy Used in Spatial Biology? A Microscopy Guide
Different spatial biology methods in microscopy, such as multiplex imaging, are helping to better understand tissue landscapes. Learn more in this microscopy guide.
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AI-Enabled Spatial Analysis of Complex 3D Datasets
VIDEO ON DEMAND - This edition of MicaCam offers practical advice on the extraction of publication grade insights from microscopy images. Our special guest Luciano Lucas (Leica Microsystems) will…
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AI Microscopy Image Analysis – An Introduction
Artificial intelligence-guided microscopy image analysis and visualization is a powerful tool for data-driven scientific discovery. AI can help researchers tackle challenging imaging applications,…
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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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The AI-Powered Pixel Classifier
Achieving reproducible results manually requires expertise and is tedious work. But now there is a way to overcome these challenges by speeding up this analysis to extract the real value of the image…