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Activity Number: 9 - Challenges in the Analysis of Spatially Resolved Cell Imaging Data
Type: Invited
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: WNAR
Abstract #319313
Title: Cell Normalization and Phenotyping for Multiplexed Single-Cell Imaging
Author(s): Simon N Vandekar* and Coleman R Harris and Jiangmei Ruby Xiong
Companies: Vanderbilt University Medical Center and Vanderbilt University and Vanderbilt University
Keywords: immunofluorescence imaging; genomics; proteomics; mixture model; function registration

Multiplexed immunofluorescence imaging has made it possible to image tissue samples at a high spatial and marker resolution. Because of the field’s recent emergence, there are few rigorously evaluated contributions to the analysis pipeline. In this talk, I introduce the format of these high-dimensional imaging data and describe two statistical methods we have developed to perform image normalization and cell phenotyping, two critical steps in the processing pipeline. For image normalization, we introduce several new metrics that we use to evaluate 12 methods for normalization and data transformation of multiplexed imaging data. This approach identifies several effective methods that we now apply as a standard before downstream analyses. These normalized data are then be submitted to a single-cell phenotyping algorithm that is in active development. I will discuss a closed-form gamma mixture model that we recently developed that forms the backbone of our phenotyping algorithm.

Authors who are presenting talks have a * after their name.

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