Microscope Software
Complementing image acquisition, our data analysis tools such as TruAI leverage deep learning to deliver accurate detection, segmentation, and quantification, enabling reliable and reproducible results.
Microscope Software
cellSens
Imaging Software
Providing intuitive operations and a seamless workflow, cellSens software’s user interface is customizable so you control the layout. Offered in a range of packages, cellSens software provides a variety of features optimized for your specific imaging needs. Its Graphic Experiment Manager and Well Navigator features facilitate 5D image acquisition. Achieve improved resolution through TruSight™ deconvolution and share your images using Conference Mode.
- Improve experiment efficiency with TruAI™ deep-learning segmentation analysis, providing label-free nuclei detection and cell counting
- Modular imaging software platform
- Intuitive application-driven user interface
- Broad feature set, ranging from simple snapshot to advanced multidimensional real-time experiments
scanR
High-Content Screening Station for Life Science
Achieve fully automated image acquisition and data analysis of biological samples using the scanR high-content screening station. Design individualized assays for cell cycle, protein localiazation, intracellular transport and more. Modular hardware is compatible with a range of additional systems, including spinning disk confocal, robot loading, incubation, TIRF, and FRAP systems.
- Fast and precise image acquisition and analysis
- Image cytometry based approach enables easy and detailed visualization of results
- Expand your capabilities with modules such as self-learning AI, kinetic parameter measuring, high-speed 3D deconvolution, and more
Microscope Software Resource Videos
cellSens Software Deep Learning: Preparing Training Data
Rather than using fluorescence images to detect and count nuclei, deep-learning technology can count the nuclei using simple transmitted images, with no staining. This cellSens tutorial video shows you how to use cellSens software’s deep-learning technology for label-free nucleus detection.
Macro to Micro Imaging
Discover how macro to micro imaging can make your experiments more efficient and reliable. This video explores how A.I. technology uses neural networks to automatically detect your samples when traditional contrast methods fall short.
Related Applications
Perform Accurate and Efficient Microscopy Image Analysis Using TruAI based on Deep Learning
Experiments often require data from microscope images. For accurate image analysis, segmentation is important to extract the analysis target area from the image. A common segmentation method is to apply thresholds to the image intensity values or color.
Advanced Live-Cell Analysis Using AI-Driven High-Content Screening Systems
This application note explores how AI-powered systems like the Olympus scanR high-content screening (HCS) station are overcoming common fluorescence microscopy challenges and helping to enable advanced analyses of living cells that previously seemed impossible. Learn how these systems can provide greater precision, ease of use, data quality, and cell viability.