High-performance deconvolution for microscopy, astronomy, medical imaging and audio. GPU-optimized algorithms, uncertainty quantification, and developer-friendly APIs.
GPU-accelerated deconvolution and restoration with uncertainty-aware outputs, production APIs, and SDKs for Python and JavaScript.
CUDA- and OpenCL-accelerated implementations for large 2D/3D stacks and real-time pipelines.
Bench: 50–500× speedup vs baseline Python implementations on common data shapes.
Per-pixel confidence estimates and probabilistic priors to guide downstream analysis and quality control.
REST API, Python SDK, and lightweight JS bindings for integration into web viewers and processing pipelines.
Upload TIFF/OME-TIFF stacks or stream data. Supports batch processing and pipeline endpoints.
Choose deconvolution algorithm, set priors, and run on CPU/GPU with progressive previews. Automatic parameter tuning available.
Download restored stacks, confidence maps, and processing metadata. Use API calls to integrate results into analysis pipelines.
deconvolve --input sample.tif --psf auto --gpu --output restored.tiffrom deconvolver import Client
c = Client(api_key='YOUR_KEY')
job = c.run('sample.tif', algorithm='bayes', device='gpu')
job.wait()
job.download('restored.tif')Restore 3D fluorescence stacks for single-cell analysis and segmentation pipelines.
Deblur telescope imagery and correct atmospheric point spread functions at scale.
Enhance low-contrast scans and quantify reconstruction uncertainty for diagnostics and research.
Recover impulse responses and deconvolve reverberation in audio and sensor streams.
Comprehensive API docs, quickstart guides for Python and JS, and example notebooks for microscopy and astronomy. Integrates with common formats like OME-TIFF and data platforms such as OMERO and cloud object stores.
“Deconvolver improved our segmentation accuracy by 30% while cutting processing time in half. The uncertainty maps helped reject low-confidence regions automatically.”
“Integration into our pipeline was straightforward. The hosted API is stable and the SDK examples are excellent.”