CloudScope¶
CloudScope is an image loading, visualization, and analysis application.
It provides desktop and browser interfaces for working with acquisition-backed image data. Current quantitative analysis workflows are designed for line scan kymographs and include:
- in vivo blood flow velocity analysis using a Radon-transform-based method
- vessel diameter analysis
- sum intensity analysis for functional fluorescence reporters (like GCaMP)
The same acqstore backend is used by the desktop application, browser application, Python scripts, and Jupyter notebooks.
For folder-level comparison of analysis results across many files, CloudScope provides pool plots — interactive velocity and peak summaries that update as you load data and run analyses. See the Pool plots guide.
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Launch the web app
Try CloudScope in your browser before installing a desktop build.
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Download the desktop app
CloudScope desktop is the same application on macOS and Windows. Step-by-step install instructions for each platform are in the documentation.
Why CloudScope?¶
CloudScope separates data handling from user interfaces. The desktop and browser GUIs, notebooks, and scripts all use the same backend code for loading files, managing ROIs, running analysis, and saving results.
This architecture helps keep analysis behavior reproducible across interfaces and makes it possible to validate workflows with unit tests and versioned releases.
One backend, multiple interfaces¶
CloudScope is built around acqstore, the shared backend. The GUI is a user interface for the same backend APIs that can also be called directly from Python.
Supported file formats¶
CloudScope currently supports commercial microscopy formats and open image formats, including:
- Olympus / Evident
.oir - Zeiss
.czi - TIFF
.tif - OME-Zarr
.ome.zarr
Support for commercial microscopy formats builds on the Python imaging ecosystem. CloudScope gratefully acknowledges Christoph Gohlke for long-standing work on microscopy and file-format tooling.
Who is this documentation for?¶
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End User
Install the desktop app, open the web app, load data, run analysis, visualize images, and export results.
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Data Scientist
Understand
AcqImage,AcqImageList, line scan kymograph analysis, saved files, metadata, and notebook workflows. -
Developer
Clone the repository, run tests, build docs, understand the architecture, and follow the release/deployment workflow.