NimbusImage is an open-source, cloud-based image analysis platform designed to revolutionize how researchers in the life sciences interact with their microscopy data.
Cloud-based
NimbusImage lives in the cloud. Access your work anywhere, analyze vast datasets with advanced machine-learning algorithms, and collaborate seamlessly—all without any local installation.
Interactive
NimbusImage has an intuitive interface that lets you put your hands on your data in completely new ways. Our flexible, powerful tools make complex image analysis accessible—even enjoyable!
Open source
Transparency and collaboration are at the heart of NimbusImage. As an open-source platform, our code is freely available for scrutiny, modification, and improvement. Run your own image server, contribute to the project.
So… what can NimbusImage do?
…and track them over time
Perform dynamic analysis, allowing you to track cells, organelles, or any objects of interest across time-lapse images. Our advanced algorithms maintain object identity through division events, enabling lineage tracing and detailed cell cycle analysis.
And measure all sort of things…
Quantify a wide range of morphological features including size, shape, and texture of cells or subcellular structures. Measure fluorescence intensities within specific regions, perform background subtraction, and analyze intensity distributions. Investigate how these properties change under different experimental conditions.
Automatically segments objects…
Automatically segment cells, nuclei, and other biological structures with precision. Leverage advanced algorithms like Cellpose and Piscis, then fine-tune your segmentation manually.
Detect and quantify spots.
Detect and quantify fluorescent spots with high accuracy, perfect for RNA FISH or protein aggregate analysis. Measure spot intensity, size, and distribution within cells or specific compartments. Analyze the spatial relationships between spots and other cellular structures.
…harnessing the power of machine learning…
Integrate machine learning models to tackle complex classification tasks or train new models on your unique data.
…in more than one dimension…
Process and analyze 3D image stacks to uncover spatial relationships within cells and tissues. Simultaneously analyze multiple fluorescent channels to investigate colocalization, proximity, and interactions between different cellular components.
…across large datasets.
Efficiently process large datasets with automated batch analysis. Create custom workflows tailored to your specific experimental needs, combining various analysis modules. Integrate machine learning models to tackle complex classification tasks or train new models on your unique data.
More to explore
NimbusImage has so much more, with new features cropping up all the time. Sign up now to see how NimbusImage might work for you!