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

doi:10.1007/978-3-030-32778-1_15

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

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings
Editors	Ninon Burgos, Ali Gooya, David Svoboda
Publisher	Springer
Pages	140-150
Number of pages	11
ISBN (Print)	9783030327774
DOIs	https://doi.org/10.1007/978-3-030-32778-1_15
State	Published - 2019
Event	4th 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 2019 → Oct 13 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11827 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th 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
Country/Territory	China
City	Shenzhen
Period	10/13/19 → 10/13/19

Keywords

Holography
Lens-free imaging
Object detection

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-32778-1_15

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

An optical model of whole blood for detecting platelets in lens-free images. / Haeffele, Benjamin D.; Pick, Christian; Lin, Ziduo et al.
Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. ed. / Ninon Burgos; Ali Gooya; David Svoboda. Springer, 2019. p. 140-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11827 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Haeffele, BD, Pick, C, Lin, Z, Mathieu, E, Ray, SC & 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11827 LNCS, Springer, pp. 140-150, 4th 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, 10/13/19. https://doi.org/10.1007/978-3-030-32778-1_15

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

Haeffele, Benjamin D. ; Pick, Christian ; Lin, Ziduo et al. / An optical model of whole blood for detecting platelets in lens-free images. Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. editor / Ninon Burgos ; Ali Gooya ; David Svoboda. Springer, 2019. pp. 140-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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