METROID

METROID extracts and denoises transmembrane potential signals from single-cell fluorescence imaging to enable precise measurement of action potentials and electroporation events in low signal-to-noise conditions.


Key Features:

  • Automated ROI Definition: Automatically defines regions of interest that adapt to cell morphology and follow cell contours to ensure consistent ROI size and shape for signal extraction from voltage-sensitive dyes and genetically encoded voltage sensors.
  • Blind Source Separation (BSS) Techniques: Implements BSS methods to separate ROI signals from noise.
  • PCA and ICA: Uses Principal Component Analysis (PCA) and Independent Component Analysis (ICA) as core decomposition methods for signal separation.
  • Discrete Wavelet Transform (DWT) Variants: Provides two versions that incorporate discrete wavelet transform (DWT) to enhance separation of signal and noise.
  • Single-Trial Signal Extraction: Filters subcellular fluorescence signals on a single-trial basis, removing the need for extensive signal averaging across repeated experiments.
  • Low SNR Performance: Effectively extracts action potential (AP) and electroporation signals at signal-to-noise ratios as low as -10 dB without distorting the signal.

Scientific Applications:

  • Membrane potential measurement: Enables precise measurement of membrane potentials in single-cell fluorescence experiments using voltage-sensitive dyes and genetically encoded voltage sensors.
  • Fast subcellular event analysis: Supports analysis of rapid events such as action potentials and electroporation at subcellular resolution.
  • Cell biology and biomedical research: Applies to basic cellular physiology studies and advanced biomedical research requiring accurate single-cell electrophysiological signals with minimal prior information.

Methodology:

Automated morphology-adaptive ROI definition; blind source separation using PCA and ICA; two DWT-incorporating variants; single-trial filtering of fluorescence images to extract AP and electroporation signals down to −10 dB SNR without signal distortion.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool, desktop application
Added:
1/18/2021
Last Updated:
2/22/2021

Operations

Publications

Zoccoler M, de Oliveira PX. METROID: an automated method for robust quantification of subcellular fluorescence events at low SNR. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-03661-9. PMID:32709217. PMCID:PMC7379836.

PMID: 32709217
PMCID: PMC7379836
Funding: - Fundação de Amparo à Pesquisa do Estado de São Paulo: Proc. N 2011/51199-6

Links