AI-powered cytometry analysis from data to report with CellStudio (RUO).
CellStudio Connect automatically picks up FCS/LMD files from your flow cytometer and uploads them to the hema.to cloud, fully anonymized.
Measures FCS/LMD data
Anonymizes and uploads the data
Stores and analyzes data
All basic cell types are automatically classified, independent of panel, SOP or device, using AI trained on hema.to’s large database with many different panels.
You stay in control and can inspect, amend and modify algorithmic classifications in CellStudio (RUO). Changes you make will be reflected in the cytograms, phenotypes and the created reports.
Text, CSV or PDF? We can export it all: A report with your results is generated with one click, configured to your unique reporting requirements.
We use cases from your lab and combine them with hema.to’s large, internal reference database to create an AI model fine tuned to your panels and data.
CellStudio’s single cell classifier identifies every cell in a case and assigns it a cell type.
When analyzing a case, we automatically assess for sample degradation, cut cell populations, and potential fluidics or lysis issues.
You can configure subsets based on a cell type and phenotype that will be automatically identified and added to your cell tree.
Cases can be automatically assigned labels based on cell population and phenotype criteria. Hema.to comes with a full WHO-based catalogue of rules that can be added to your app with one click.
Kappa and lambda clonality is automatically assessed for B cells and their sub populations. Detailed clonality statistics are available on a population level and can be referenced in reports.
CellStudio features a rich, intuitive suite of annotation tools for flow cytometry data that scales to millions of events per tube.
Define a target population and see its detailed phenotype and statistics. Watch it update in real-time when making edits to the data with CellStudio’s lasso and threshold tools.
CellStudio is available in both a light and dark theme. You can customize the color of every cell population for either mode in your user settings.
Cytograms can display data in linear, log and symlog scale. Axis parameters can be reconfigured seamlessly while analyzing a case.
CellStudio features a visual editor for the case’s compensation matrix. Once changed, the AI analysis can be rerun with the updated parameters with one click.
Quickly align clusters across tubes with CellStudio’s merged tube view. Merging is available for all cell populations and remembers your settings the next time you open a case with the same panel.
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Consistent across panels and specimen types
Peripheral blood and bone marrow
Expert-level leukocyte differentiation
Validated in pathological and non-pathological cases
I am very excited about implementing the decision support system developed by hema.to into the flow cytometry lab space! It will help streamline and automate analyses workflows leading to improved accuracy and turn-around-times.”
Prof. Dr. Pozdnyakova
Director of hematopathology at UPenn Medicine
In the long run, there will be only three specialized hematology labs in the Netherlands — I think that hema.to will help us to be amongst them.”
Dr. Jürgen Riedl
Hematologist & Co-founder of Result Laboratorium
I really believe in what hema.to is doing. AI truly has the potential to help with many of our challenges in clinical flow cytometry including training new staff, not missing small pathologies or double pathologies, and taking better advantage of the large data sets we produce on any given sample for new diagnostic or predictive information.”
Elizabeth Eshel
Coordinator of clinical cytometry at Ziv Medical Center (Israel)
The unique A.I.-based approach developed by hema.to has a transformative potential in cytometry, filling a high unmet need for this method that provides key health and biological metrics in many indications. We are proud and thrilled to join’s team in this endeavor.”
Dr. David Sourdive
Co-founder, Executive Vice President for Strategic Initiatives and Director of Cellectis
