Behind the next discovery, paper, or cure are life scientists and researchers, and we are their biggest fans. We are passionate about building tools for researchers and helping them get from data to results, one cell at a time.

Proud of our Solutions

FlowJo® is the leading analysis platform for single-cell flow cytometry analysis.
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SeqGeq™ (SEEK-GEEK) helps you extract insight from the individuality of single-cell gene expression.
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FlowJo Envoy makes coordinating the projects and people within your lab as easy as dragging a gate in FlowJo®.
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FlowJo University

FlowJo, LLC is committed to providing users support and training for their journey from curiosity to discovery, and FlowJo University is a hub for free introductory and advanced online resources. 

Dimensionality Reduction with the t-Distributed Stochastic Neighbor Embedding (tSNE) Algorithm

The tSNE algorithm computes two new derived parameters from a user-defined selection of cytometric parameters. These tSNE-generated parameters are optimized in such a way that data points that were close together in the raw high-dimensional data remain close together in the reduced data space.

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Calculating the Number of Molecules on Cells Using FlowJo v10

Measuring the fluorescence intensity of cells and particles is routine and the basis of the vast majority of inquiry in flow cytometry. Considering that fluorescence intensity is correlated with molecules on the surface of the cell, can the relationship between the two be quantified? If so, how can we use that relationship to calculate the number of molecules on the surface of a cell in a given experiment?

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Shares an obsession with single cell science as the basic unit of disease.
Committed to helping scientists apply their genius in the laboratory.
Improves the human condition and ecosystem by translating curiosity into discovery.