Designed for the complexity, variability, and scale demands of life sciences — from label-free microscopy to whole-slide digital pathology. Domain-aware pipelines that adapt to your workflow, not the other way around.
Built for every stage of the life sciences pipeline
Each segment has its own imaging challenges, data volumes, and analytical demands. OptiFlow's domain-aware engine adapts to each — without forcing your workflow into a generic mould.
Segment 01
BioPharma
Reproducible analysis at the speed of discovery
BioPharma imaging workflows demand precision, reproducibility, and throughput in equal measure. Manual review creates analytical bottlenecks that slow assay cycles; generic tools create scripting dependencies that overload bioinformatics teams. OptiFlow delivers automated, domain-aware pipelines that scale with your screening campaigns — without sacrificing the rigour your regulated environment requires.
Screening throughput bottlenecks. Manual or semi-automated analysis limits campaign velocity — instrument capacity goes underutilised while analysts queue.
Scalability, consistency and reproducibility. Lack of standardised pipelines across sites, operators, and timepoints undermines data integrity in regulated environments.
Scripting dependency. Generic tools require custom code for every new assay — creating bottlenecks on already-stretched bioinformatics teams.
Subtle phenotypic quantification. Reliable measurement of cell morphology and nuclear markers at scale is beyond what manual review can deliver consistently.
Relevant modules
Object detection & segmentation
Precise cell and nuclear boundary detection across assay types and imaging conditions
Single-cell analysis
Per-cell morphometric profiling, population statistics, and batch normalisation
Classification & grading
Supervised phenotypic classification trained on your assay's specific readouts
PDF & Excel reporting
Audit-ready reports with annotated images, statistics, and reproducible pipeline parameters
Segment 02
Bio Research
Let researchers focus on biology, not pipelines
Biology experts are not image processing experts — and they shouldn't need to be. Yet most research labs spend a disproportionate share of experimental time on analysis rather than interpretation. OptiFlow's visual workflow builder puts robust, reproducible analytics directly in the hands of the researcher — no scripting required, no single point of failure when a lab member moves on.
Analysis overhead. Researchers spend a disproportionate amount of time on image processing rather than biological interpretation — the work they were hired for.
Fragile pipelines. Analysis workflows built by one lab member break when they leave or when imaging conditions change — institutional knowledge walks out the door.
Reproducibility and collaboration. No standardised workflow means results are difficult to reproduce, share between collaborators, or defend in peer review.
Staining constraints. Label-based staining adds preparation time, reagent cost, and phototoxicity concerns — particularly limiting for live-cell experiments.
Relevant modules
Image enhancement & correction
Illumination correction, denoising, and normalisation — applied consistently across datasets
Object detection & segmentation
Robust cell and structure delineation across fluorescence, DIC, and brightfield modalities
Morphological analysis
Automated per-object measurements and population statistics — no spreadsheet required
Featured capability
CytoByte — Label-free in-silico staining
Render pseudo-DAPI nuclear staining directly from DIC images using deep neural networks. No chemical preparation, no phototoxicity, no additional equipment — ideal for live-cell and longitudinal experiments.
Segment 03
Drug Screening
Close the gap between instrument and insight
High-content screening generates image data faster than conventional tools can process it. The bottleneck is always downstream of the instrument — in the analysis layer. OptiFlow closes that gap with multi-parametric, domain-aware pipelines that handle the volume, normalise across plates and batches, and reduce false positives before they consume follow-up resources.
Analysis throughput. HCS generates data faster than it can be analysed — the bottleneck is always downstream of the instrument, not at it.
Chemical staining interference. Staining interferes with cellular biology and limits conclusions from live experiments, especially timepoint and kinetic assays.
Inconsistent phenotypic readouts. Without automated normalisation, results vary across plates, batches, and operators — introducing noise at the point of decision.
Multi-parametric hit identification. Morphology + intensity + spatial analysis together — beyond what spreadsheet-based tools can handle reliably.
False positives from poor segmentation. Inaccurate cell boundary detection cascades into wasted follow-up resources on non-hits.
Relevant modules
Single-cell analysis & counting
High-content per-cell profiling across large plate-based datasets with batch normalisation
Classification & grading
Multi-parametric phenotypic scoring — morphology, intensity, and spatial features combined
Statistical analysis & reporting
Population-level statistics, dose-response curves, and hit ranking with exportable outputs
Featured capability
CytoByte — Staining-free live assays
Eliminate chemical staining from screening workflows. CytoByte renders nuclear morphology from label-free images — enabling kinetic and longitudinal assays without staining-induced perturbation.
Segment 04
Digital Pathology & Cytology
Precision review at scale
Whole-slide imaging generates data volumes that make exhaustive manual review impractical. OptiFlow's domain-aware pipelines are built to handle the scale and variability of pathology workflows — from grading consistency across institutions to rare cell detection that no manual screen can reliably achieve.
Scale of whole-slide review. WSI files are too large for exhaustive manual analysis — pathologists spend time on low-value scanning rather than high-value diagnosis.
Grading subjectivity. Consistency varies between pathologists and institutions — introducing clinically significant variability into decisions that depend on standardised criteria.
Digital transition gap. Moving from glass slides to digital workflows lacks analytical tools that match the precision of experienced manual review.
Rare cell detection. Finding circulating tumour cells or mitotic figures requires exhaustive search across entire slides — impractical to perform reliably by hand.
Domain shift across institutions. Models trained on one institution's staining protocol fail on slides from another lab — limiting the generalisability of any fixed pipeline.
Relevant modules
Object detection & segmentation
Precise cell and tissue structure delineation on H&E and IHC stained whole-slide images
Classification & grading
Standardised grading models that reduce inter-pathologist variability and cross-site inconsistency
Rare cell detection
Exhaustive slide-level search for CTCs, mitotic figures, and other low-prevalence targets
PDF & Excel reporting
Structured diagnostic reports with annotated regions, cell counts, and grading outputs
Ready to see it on your images?
Book a live demo with your own imaging data — we'll show you the most relevant capabilities, and if your workflow needs something we haven't built yet, we'll work with you to build it.