Custom cytometry data analysis
Powering timely, transformative discoveries and better patient care in immune system-driven diseases
About Ionic
If you work in academia or the biotech industry, you know that cytometry experiments often hold powerful information that can drive the development of medicines and improve clinical knowledge.
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The trouble is that high-parameter cytometry is complex and requires deep knowledge of how to apply the technology and interpret data on novel biomarkers and cell therapies. Few companies have the bandwidth to do this work efficiently and comprehensively.
At Ionic, we build systems for running and analyzing complex cytometry experiments that help researchers in oncology, immunology, cell therapy, and other therapeutic areas working on improving patient care.
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Learn more about how we help researchers make transformative discoveries.
How We Help Researchers Solve Problems
Ionic is a global cytometry partner to academic institutions, biotech companies, and CROs working to improve patient care in oncology, immunology, cell therapy, and other therapeutic areas.
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Our unparalleled cytometry expertise leads our clients to make discoveries by engineering high-value experiments and extracting the most compelling insights.
When researchers collaborate with Ionic, they can efficiently secure grants, submit manuscripts to peer-reviewed publications, present at medical conferences, and usher investigational therapeutics into and through the clinic.
We make strategic recommendations and build systems to get researchers' questions answered. With our engineering background and deep knowledge of cytometry, we improve study design and development to execute complex cytometry experiments seamlessly.
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Once experiments are complete, we use a custom white-glove data analysis strategy to assist clients in interpreting the data and its implications.​
Services include
Helping labs design and run experiments with remarkable outcomes
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Uncovering the novel signature of a disease
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Improving understanding of a single cell type
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Understanding the profile of different combinations of biomarkers
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Evaluating dynamics of different systems in in vitro or mouse studies
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Identifying predictive biomarkers for response or therapy outcomes
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Confirming or denying an investigational treatment’s mechanism of action
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Identifying patterns of treatment response relative to dosages and/or patient cohorts