Coordinated by Wenyan Li
Description: The conversion of raw sequencing reads to biologically relevant data in high throughput single-cell RNA sequencing experiments is a complex and involved process. Drawing meaning from thousands of individual cells to provide biological insight requires not only ensuring that the data is of the highest quality, but also that the signal can be separated from noise. In this workshop we describe a detailed analytical workflow that allows the generation of high-quality data analysis in single-cell multiomics. This workshop outlines 3 discrete pipelines: 1) Gene expression matrix data pre-processing and analysis, 2) Advanced analysis, 3) Conversion to Flow Cytometry Standard (FCS) format.
This is an interactive workshop and attendants are encouraged to bring their computers. Tutorial materials will be provided for software and R package installation prior to the workshop.
Coordinated by Mary Sartor and Michelle Petrasich
Description: Flow Analysis - Get to know your Software (Kaluza & Infinicyt)
Hosted at PDI
Join Suat Dervish, Edwin Lau and Steven Allen for the 2022 ACS Build Your Own Cytometer workshop, which is designed to highlight and contrast key components found across all fluorescence based cytometers in an interactive manner. The workshop will entail theory, design, build and operation of a simple cytometer with an opportunity for users to put together components and construct a working model with signals displayed on an oscilloscope or screen.
Coordinated by Felix Marsh-Wakefield (in-person) & Thomas Ashhurst (remote)
Description: In this session, instructors will guide users through analysis of a dataset, exploring how clustering, dimensionality reduction, and quantitative statistical analysis can give us deep insights into biology.
Coordinated by Sajad Razavi Bazaz
Description: Microfluidics is the science of precisely controlling and manipulating fluids and particles in channel networks with dimensions in the order of micrometres, and has become an essential tool in life science research and biotechnologies. This workshop provides an opportunity cytometry users to become familiar with the fundamentals and applications of microfluidics, and how these devices are are being developed for next-generation flow cytometers. At first, the principles and practical notes for designing a microfluidic channel in commercially available software packages are stated. Afterwards, a brief discussion on the fabrication of microfluidic devices will be provided.
Hosted at PDI
Join Suat Dervish, Edwin Lau and Steven Allen for the 2022 ACS Build Your Own Cytometer workshop, which is designed to highlight and contrast key components found across all fluorescence based cytometers in an interactive manner. The workshop will entail theory, design, build and operation of a simple cytometer with an opportunity for users to put together components and construct a working model with signals displayed on an oscilloscope or screen.
Coordinated by Felix Marsh-Wakefield (in-person) & Thomas Ashhurst (remote)
Description: In this session, instructors will introduce users to advanced applications of high-dimensional analysis, including aligning data across batches, and a preview of how to integrate data with single-cell reference datasets from the Human Cell Atlas (HCA) to facilitate rapid and automated cell state classification.
Flow Cytometric Detection of Measurable Residual Disease in Acute Myeloid Leukemia: Improvements Using High-Parameter Data Analysis and Machine Learning. Paul K. Wallace1 and Kah Teong Soh2, 1SciGro, Inc., Sedona, AZ, 2Agenus, Inc., Lexington, MA
Acute myeloid leukemia (AML) measurable residual disease (MRD) evaluated by multiparametric flow cytometry (MFC) is a surrogate for progression-free survival, which is important for risk stratification, treatment planning, and the prediction of outcomes in clinical trials. In this workshop, we will first examine overt and MRD cases from our routine 8-color AML MRD panel. Disease is normally detected by manually looking for leukemia associated immunophenotypes and patterns that are different from normal. However, the utility of flow cytometry for the detection of AML MRD has been limited by this manual approach, which can be subjective, difficult to reproduce, and time consuming. We have recently applied machine learning (ML) and artificial intelligence to the analysis of 1,040 patient datasets stained with 8-color panel. Using down sampling, comparison between machine learning and manual interpretations had a specificity of 94% and sensitivity of 62%. Sensitivity was improved to 73% using a ‘chunk-for-pooling’ analysis approach, which will be discussed. Unsuccessful classifications often had very few abnormal cells, an unusual, atypical phenotype (i.e., CD5), or artifacts such as platelets and debris. A larger dataset of abnormal cases correlating all markers in a single tube will likely improve results using either manual of ML approaches. Splitting markers into multiple tubes cripples the simultaneous and correlated assessment of all myeloblast measurements. We have prototyped a single-tube 27-color spectral panel for the evaluation of AML MRD, incorporating all markers in our 8-color panel. A high concordance between the established 8-color method and the spectral assay was found for both enumerating myeloblasts and with MRD interpretation. The data further showed that the spectral assay achieved the minimum required detection sensitivity of 0.1%. We are now collecting patient data using the spectral panel to evaluate it using the ML approach.
Coordinated by Rob Salomon & Betsy Ohlsson-Wilhelm
Description: The field of cytometry and single-cell analysis is undergoing significant change. As technology develops, we are now faced with a myriad of different approaches to achieving unprecedented understanding of cellular. This workshop looks at the impact innovation is having on the field of cytometry and discusses ways to harness emerging developments.
Coordinated by Alexis Gonzalez
Description: Panel design and analysis strategies to characterise dim signals in highly AF samples
Panel discussions with Virginia Litwin, Mary Sartor, Michelle Petrasich
Description: Flow Analysis - difficult or interesting case studies - "ask the experts"
Coordinated by Avrill Aspland
Description: Shared Resource Laboratories (SRLs) are in a unique position, supporting research outcomes from a diverse range of researchers, often from many different laboratories. Each of these researchers likely work within laboratories with varying safety policies, expectations and overarching safety cultures. This leaves the SRL to train and support new behaviours. This workshop will focus on identifying key practices that facilities can incorporate to foster safety awareness, improve safety, and support compliance in their facilities.