TokuCompute: Expert analysis for teams drowning in cytometry data

‍Transform your clinical trial cytometry data into publication-ready results without building an in-house analysis team.

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"I wish I had this dashboard for analyzing flow data 15 years ago" — Translational Scientist, multi-billion dollar public pharma company

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The Problem 🚨

Biomarker and translational teams with clinical-stage immunotherapies recognize the value of cytometry in their trials, but analyzing complex datasets from PBMCs and whole blood often becomes a bottleneck. Between gating populations, running statistical comparisons, and generating conference-quality graphs, what should take days stretches into weeks or months.

Teams consistently face key challenges:

• Analysis backlogs delay critical results
• Statistical analysis requires specialized cytometry knowledge
• Building dedicated bioinformatics teams often isn't feasible
• Tool-switching between spreadsheets and different apps slows progress (this is a big one!)
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The Solution: TokuCompute ✨

TokuCompute eliminates this bottleneck by providing expert cytometry analysis as a service, delivering comprehensive results through an interactive dashboard built specifically for cytometry data. Our proven analysis pipelines complete in hours, not weeks, while you focus on interpreting results instead of wrestling with complex datasets and spreadsheets.

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How it works 📊

Share Data >> Choose Analysis >> Receive Result on Dashboard

Getting started with TokuCompute is straightforward and designed to integrate seamlessly into your existing workflow:

Step 1: Share Your Data

Share your Cell Engine project with our team by duplicating your experiment, adding it to a new project, and sharing access with TokuCompute. This ensures your original data remains secure while giving us everything we need for analysis.

Step 2: Choose Your Analysis Tier

Select the analysis depth that best matches your research objectives, timeline, and budget:

Core Compute

• Immune composition analysis
• Statistical comparisons across treatment groups and timepoints
• Volcano plots and box plots with statistical tests
• Publication-ready graphs and interactive visualizations

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Premier Compute

• Everything in core, plus: 
• Unsupervised clustering analysis
• Cluster heatmaps and UMAP visualizations
• Cluster frequency comparisons for deeper mechanistic insights

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Step 3: Receive Your Results

Within days, you'll receive access to your own interactive cytometry dashboard where you can explore results immediately. No waiting for static reports – your comprehensive analysis is delivered through an intuitive interface built specifically for cytometry data.

Step 4: Focus on Insights

With analysis complete, you can focus on what matters most: interpreting results and advancing your clinical biomarker and translational research programs, rather than wrestling with complex datasets and spreadsheets.

Currently developing integrations for OMIQ and FlowJo projects to expand data source compatibility.

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Built for Clinical Trials 🎯

TokuCompute is purpose-built for the unique needs of clinical cytometry research, streamlining the analysis workflow from data to insights:

• Trial-focused: Designed for PBMC and whole blood cytometry data
• Group comparisons: Compare responders vs. non-responders, pre- vs. post-treatment, dose cohorts
• Instant statistics: Multi- and two-group statistical tests with p-value calculations‍
• Interactive dashboard: Explore results immediately without waiting for static reports

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Ready to accelerate your cytometry analysis? 💪

‍Contact Teiko to discuss how TokuCompute can support your clinical biomarker and translational research programs.

www.teiko.bio