OptiFlow is a modular, imaging modality-agnostic analytics platform. Build domain-aware workflows visually, run them from a single image to millions, and turn raw images into measurements, charts, and finished reports — no code, 100% local.
One coherent path runs through every deployment. Point OptiFlow at your images, compose a workflow visually, run it through the modules your work demands, and export results — each one carrying the exact record of how it was made.
Files, whole folders, or live feeds — any imaging modality. Pixel calibration is read straight from your metadata.
Drag in operations, branch and combine, and preview every step on your own images.
Restore, detect, classify, and quantify with models built for your field — not generic ones repurposed.
Annotated images, measurements, charts, and formatted reports — exported to TIFF, PNG, Excel, and PDF.
Provenance is embedded at every step. Every output records the exact operations, parameters, calibration, and operator that produced it — written into the file itself, ready for audit or replication.
Compose serious pipelines without a programming team. Branch one cleaned image into several analysis paths, and preview any step on your own data before you commit. When it works, save it — and anyone can run it.
Every workflow is assembled from a deep library of domain-aware operations — from signal recovery to classification to reporting. Try any of them on your own data, then license only what your work demands.
Denoising that is classical, AI-guided, and hybrid — NLM, bilateral, wavelet, total-variation, plus BM3D for heavy noise and Perona–Malik anisotropic diffusion. Destriping for FIB-SEM curtaining. Illumination, contrast and CLAHE. Frequency-domain filtering with FFT notch and Butterworth band-pass.
Otsu, multi-Otsu and adaptive thresholding; morphology and connected-component labelling; edge detection (Canny, Sobel, Scharr); and ridge filters (Frangi, Sato, Meijering) for vessels, filaments and fibres — or traces, cracks and grain boundaries. Calibrated distance, area, and interactive line-intensity profiling.
Supervised deep learning for cell type, phenotype, disease grade, or defect class — trained on your own annotated images, so the model learns your problem rather than approximating it.
Supervised detection against a defect library for failure modes you already know, plus unsupervised anomaly detection that flags novel defects with no labels required.
In-silico staining turns DIC images into a virtual nuclear stain in real time — visualising structure without a single chemical stain. In production at ETH Zürich.
Per-object and population statistics, texture analysis, interactive line-intensity profiles, and built-in plotting — histogram, scatter, box-plot, violin, CDF. Export the whole batch to Excel automatically, or compile results into formatted PDF reports with a structure tailored to your team.
Channel and colour operations, lookup tables, geometry and alignment, type conversion, and pixel-wise image maths and compositing — the connective tissue that lets any workflow fit together exactly as your work requires.
Modular by design — add modules as your use cases grow, instrument by instrument and team by team. Explore the engines built for biomedical, semiconductor, or your own domain.
Integrity isn't a premium tier or a bolt-on. It is the architecture. Every result is reproducible, every deployment stays on your own machines, and the record can be trusted.
The complete pipeline — every operation, parameter, calibration and operator — is written into the image file itself, encrypted and readable only inside OptiFlow. Re-process a file and the new run appends to the chain; where it matters, the record can be locked to a password only your team holds.
Processing reads and writes your local filesystem directly. No image data crosses the network, no cloud account, no exceptions — it runs fully offline, inside your own environment.
An encrypted, rollback-resistant timestamp guards against clock tampering, and cryptographically signed, hardware-bound licences keep execution on the machines you authorise.
Every result already contains the workflow that made it. So when you want to revisit your own analysis, hand it to a colleague, satisfy a reviewer, or re-run it across a folder, the full method is right there — nothing to document, nothing to rebuild. And it stays yours: the record is encrypted, readable only inside OptiFlow, and accessible only when you choose.
A self-contained desktop application that sits beside the tools you already use — no servers to provision, no workflow to rebuild from scratch.
Runs as a self-contained Windows application. No cloud account, no server to stand up, nothing to provision.
Sits alongside your existing instruments and file stores. Point it at a folder and go — nothing to migrate.
Exports to TIFF, PNG and Excel. Workflows save as portable files you can share, version, or hand to a colleague.
Picks up pixel size from ImageJ, OME-TIFF and TIFF metadata, so measurements land in real units — nm or µm — automatically.
No rip-and-replace, no leap of faith. Prove the value on your own data first, then grow at your own pace.
Bring us a problem and your own data. We'll show you exactly what OptiFlow does with them.