WaveMAP for identifying putative cell types from in vivo electrophysiology
Related Experiment Video
Updated: Jul 29, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
Published on: June 4, 2019
Kenji Lee1, Nicole Carr2, Alec Perliss2
1Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA.
Abstract:
Action potential spike widths are used to classify cell types as either excitatory or inhibitory; however, this approach obscures other differences in waveform shape useful for identifying more fine-grained cell types. Here, we present a protocol for using WaveMAP to generate nuanced average waveform clusters more closely linked to underlying cell types. We describe steps for installing WaveMAP, preprocessing data, and clustering waveform into putative cell types. We also detail cluster evaluation for functional differences and interpretation of WaveMAP output. For complete details on the use and execution of this protocol, please refer to Lee et al. (2021).1.
More Related Videos
09:35Preclinical Cardiac Electrophysiology Assessment by Dual Voltage and Calcium Optical Mapping of Human Organotypic Cardiac Slices
Published on: June 16, 2020
07:38Isolating and Imaging Live, Intact Pacemaker Regions of Mouse Renal Pelvis by Vibratome Sectioning
Published on: April 30, 2021