This talk was given by Faris Naji CEO of Tercen to Cyto Virtual 2020 seminar on August 4th. He outlines the state of data analysis for Flow Cytometry and how Tercen can provide innovative ways to apply the latest statistical techniques. Overview: Flow cytometry is a widely applied approach to exploratory immune profiling and biomarker discovery in healthy or pathological conditions. Flow cytometry uses antibodies tagged with fluorochromes or fluorescent dyes for which novel methods allow up to 50 detection parameters. More recently, an innovative technology using stable metal isotopes instead of fluorochromes has emerged. Mass and spectral cytometry has enabled high dimensional analysis and resulted in new research opportunities and challenges. Scientists can no longer manage with the classical bi-axial gating strategy and they need new algorithms, statistical knowledge, terminology, and tools to develop standard analysis approaches. Tercen tutorial material demonstrates how to use workflows, dimension reduction (e.g. PCA, tSNE, UMAP), clustering (e.g. FlowSOM), and marker metrics (e.g. MEM scores). In addition, Tercen gives users the opportunity to integrate different types of data to high dimensional flow cytometry and boost biomarker discovery. Watch our tutorial and join us on Tercen to learn more about High dimensional Flow Cytometry.

Table of Contents:

00:00 - Introduction

02:16 - Intro to Flow Cytometry

03:41 - Intro to CyTOF

07:02 - Terminology

09:14 - Software Review

11:20 - Cleaning Data

14:16 - Tercen Capabilities

15:05 - Tutorial Learning Objectives

17:06 - Platform Overview

25:22 - Downsampling

30:13 - Dimension Reduction

35:24 - Comparison of D.R. Techniques

40:55 - Introduction to FlowSOM

40:56 - Clustering

44:11 - Introduction to FlowSOM

49:28 - Clustering Optimisation with MEM scores

54:25 - Differential Testing & Biomarker discove

58:50 - Summary

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