Weakly Supervised Learning-based Reconstruction of Planktons in Digital In-line Holography

Harshal Chaudhari; Rishikesh Kulkarni; M.K. Bhuyan

doi:10.1364/DH.2022.W5A.6

Digital Holography and 3-D Imaging 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper W5A.6
•https://doi.org/10.1364/DH.2022.W5A.6

Weakly Supervised Learning-based Reconstruction of Planktons in Digital In-line Holography

Harshal Chaudhari, Rishikesh Kulkarni, and M.K. Bhuyan

Digital Holography and Three-Dimensional Imaging 2022

Cambridge United Kingdom
1–4 August 2022
ISBN: 978-1-957171-12-8

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Joint Poster Session II: Virtual (W5A)

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H. Chaudhari, R. Kulkarni, and M. K. Bhuyan, "Weakly Supervised Learning-based Reconstruction of Planktons in Digital In-line Holography," in Digital Holography and 3-D Imaging 2022, D. Chu, J. Park, C. Cheng, and P. Ferraro, eds., Technical Digest Series (Optica Publishing Group, 2022), paper W5A.6.

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Abstract

Weakly-supervised learning-based technique is employed for hologram reconstruction of planktons recorded in digital in-line holographic setup. One-level wavelet decomposition of the reconstructed image is computed to generate a mask and subsequently a ground truth image to train the network.

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