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Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis.

A Mencattini1,2, M D'Orazio1,2, P Casti1,2

  • 1Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.

Communications Biology
|March 3, 2023
PubMed
Summary
This summary is machine-generated.

Deep-Manager software helps select robust bioimaging features, reducing sensitivity to acquisition artifacts and improving discrimination power for deep learning and handcrafted features.

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Area of Science:

  • Bioimaging
  • Computational Biology
  • Machine Learning

Background:

  • Bioimaging feature extraction is challenged by experimental variability and acquisition artifacts.
  • Deep learning features lack clear physical meaning, making them susceptible to biases unrelated to biological phenotypes.
  • Unspecific biases in features can hinder reliable discrimination and regression tasks in biological studies.

Purpose of the Study:

  • To develop a software platform, Deep-Manager, for selecting robust bioimaging features.
  • To identify features with low sensitivity to unspecific disturbances and high discriminating power.
  • To address the challenge of feature validity across different experimental conditions and perturbations.

Main Methods:

  • The Deep-Manager software platform was developed to efficiently select robust features.
  • The method is applicable to both handcrafted and deep learning-derived features.
  • Performance was validated across five diverse case studies, including cell death investigation and deep transfer learning.

Main Results:

  • Deep-Manager successfully identifies features with reduced sensitivity to acquisition artifacts.
  • The software demonstrates high discriminating power for biological features.
  • Validated performance across multiple bioimaging applications, showcasing its versatility.

Conclusions:

  • Deep-Manager provides an effective solution for selecting reliable bioimaging features.
  • The software enhances the utility of deep learning and handcrafted features in biological research.
  • Deep-Manager is a valuable, adaptable tool for various bioimaging fields.