An optical model of whole blood for detecting platelets in lens-free images

Benjamin D. Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C. Ray, René Vidal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we consider the task of detecting platelets in images of diluted whole blood taken with a lens-free microscope. Despite having several advantages over traditional microscopes, lens-free imaging systems have the significant challenge that the resolution of the system is typically limited by the pixel dimensions of the image sensor. As a result of this limited resolution, detecting platelets is very difficult to do even by manual inspection of the images due to the fact that platelets occupy just a few pixels of the reconstructed image. To address this challenge, we develop an optical model of diluted whole blood to generate physically realistic simulated holograms which we then use to train a convolutional neural network (CNN) for platelet detection. We validate our approach by collecting both lens-free and fluorescent microscopy images of the same field of view of diluted whole blood samples with fluorescently labeled platelets.

Original languageEnglish (US)
Title of host publicationSimulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings
EditorsNinon Burgos, Ali Gooya, David Svoboda
PublisherSpringer
Pages140-150
Number of pages11
ISBN (Print)9783030327774
DOIs
StatePublished - Jan 1 2019
Event4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019 - Shenzhen, China
Duration: Oct 13 2019Oct 13 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11827 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019
CountryChina
CityShenzhen
Period10/13/1910/13/19

Keywords

  • Holography
  • Lens-free imaging
  • Object detection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Haeffele, B. D., Pick, C., Lin, Z., Mathieu, E., Ray, S. C., & Vidal, R. (2019). An optical model of whole blood for detecting platelets in lens-free images. In N. Burgos, A. Gooya, & D. Svoboda (Eds.), Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings (pp. 140-150). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11827 LNCS). Springer. https://doi.org/10.1007/978-3-030-32778-1_15