Unsupervised feature learning and clustering of particles imaged in raw holograms using an autoencoder

Digital holography is a useful tool to image microscopic particles. Reconstructed holograms give high-resolution shape information that can be used to identify the types of particles. However, the process of reconstructing holograms is computationally intensive and cannot easily keep up with the rat...

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Veröffentlicht in:	Journal of the Optical Society of America. A, Optics, image science, and vision Optics, image science, and vision, 2021-10, Vol.38 (10), p.1570-1580
Hauptverfasser:	Liu, Zonghua, Thevar, Thangavel, Takahashi, Tomoko, Burns, Nicholas, Yamada, Takaki, Sangekar, Mehul, Lindsay, Dhugal, Watson, John, Thornton, Blair
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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