Keras R-CNN: library for cell detection in biological images using deep neural networks.

Journal: BMC bioinformatics
Published Date: Jul 11, 2020

Abstract

BACKGROUND: A common yet still manual task in basic biology research, high-throughput drug screening and digital pathology is identifying the number, location, and type of individual cells in images. Object detection methods can be useful for identifying individual cells as well as their phenotype in one step. State-of-the-art deep learning for object detection is poised to improve the accuracy and efficiency of biological image analysis.

Authors

  • Jane Hung
    Imaging Platform at the Broad Institute of Harvard and MIT, 415 Main St, Cambridge, MA 02142, USA.
  • Allen Goodman
    Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Deepali Ravel
    Harvard T.H.Chan School of Public Health, Boston, MA, USA.
  • Stefanie C P Lopes
    Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz (FIOCRUZ), Manaus, Amazonas, Brazil.
  • Gabriel W Rangel
    Harvard T.H.Chan School of Public Health, Boston, MA, USA.
  • Odailton A Nery
    Universidade de São Paulo, São Paulo, Brazil.
  • Benoit Malleret
    Department of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore.
  • Francois Nosten
    Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.
  • Marcus V G Lacerda
    Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz (FIOCRUZ), Manaus, Amazonas, Brazil.
  • Marcelo U Ferreira
    Universidade de São Paulo, São Paulo, Brazil.
  • Laurent Rénia
    Singapore Immunology Network (SIgN), Agency for Science Research & Technology, Singapore, 138632, Singapore.
  • Manoj T Duraisingh
    Harvard T.H.Chan School of Public Health, Boston, MA, USA.
  • Fabio T M Costa
    Laboratory of Tropical Diseases-Prof. Dr. Luiz Jacintho da Silva, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil.
  • Matthias Marti
    Harvard T.H.Chan School of Public Health, Boston, MA, USA.
  • Anne E Carpenter
    The Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, United States. Electronic address: anne@broadinstitute.org.

Keywords

External Resources

Popular Topics
Recent Journals