Freecyto: Quantized Flow Cytometry Analysis for the Web

by   Nathan Wong, et al.

Flow cytometry (FCM) is an analytic technique that is capable of detecting and recording the emission of fluorescence and light scattering of cells or particles (that are collectively called "events") in a population. A typical FCM experiment can produce a large array of data making the analysis computationally intensive. Current FCM data analysis platforms (FlowJo, etc.), while very useful, do not allow interactive data processing online due to the data size limitations. Here we report a more effective way to analyze FCM data. Freecyto is a free, easy-to-learn, Python-flask-based web application that uses a weighted k-means clustering algorithm to facilitate the interactive analysis of flow cytometry data. A key limitation of web browsers is their inability to interactively display large amounts of data. Freecyto addresses this bottleneck through the use of the k-means algorithm to quantize the data, allowing the user to access a representative set of data points for interactive visualization of complex datasets. Moreover, Freecyto enables the interactive analyses of large complex datasets while preserving the standard FCM visualization features, such as the generation of scatterplots (dotplots), histograms, heatmaps, boxplots, as well as a SQL-based sub-population gating feature. We also show that Freecyto can be applied to the analysis of various experimental setups that frequently require the use of FCM. Finally, we demonstrate that the data accuracy is preserved when Freecyto is compared to conventional FCM software.


page 1

page 4

page 8

page 15

page 16

page 18


Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook

We demonstrate PI2, the first notebook extension that can automatically ...

Interactive exploration of population scale pharmacoepidemiology datasets

Population-scale drug prescription data linked with adverse drug reactio...

Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science

Recent advancements in neutron and x-ray sources, instrumentation and da...

TopoEmbedding, a web tool for the interactive analysis of persistent homology

Software libraries for Topological Data Analysis (TDA) offer limited sup...

The Persint visualization program for the ATLAS experiment

The Persint program is designed for the three-dimensional representation...

CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop

We present CosmoHub (, a web application based o...

Using Multi-Core HW/SW Co-design Architecture for Accelerating K-means Clustering Algorithm

The capability of classifying and clustering a desired set of data is an...

Please sign up or login with your details

Forgot password? Click here to reset