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.
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.
FlowJo, LLC •
1 week ago
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.
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?
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.
“FlowJo features like “concatenate” and “combination gates” give us rapid and consistent analysis that is not possible with instrument-supplied software.”
Connie Porretta, BS,I(ASCP), Technical Director, Flow Cytometry Shared Resource, Alcohol Research Center, LSUHSU
“FlowJo is our go-to software for data analysis in the Core Facility. We use platforms extensively, especially for Cell Cycle and Proliferation, to minimize subjectivity from our analysis.”
Patricia Simms, Manager FACS Core Facility, Cardinal Bernardin Cancer Center, Loyola University Medical Center
“Users love the publication-quality figure graphics and the ability to export graphics in various formats. Table export is a huge hit with our users—everything straight to Excel.”
Dagna Sheerar, Manager, UWCCC Flow Laboratory
“Through its easy-to-use interface, this program has continually given us the ability to better assess how genetic background, infection, or other treatments impact any cell population of our choosing."
Jessica Prince, Laboratory Manager, University of Virginia