RSC Tokyo International Conference 2023

RSC Tokyo International Conference 2023

5. H. Joung, Z. Ballard, J. Wu, D. Tseng, H. Teshome, L. Zhang, E. Horn, P. Arnaboldi, R. Dattwyler, O.B. Garner, D. Di Carlo, and A. Ozcan, “Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning,” ACS Nano DOI: 10.1021/acsnano.9b08151 (2019) 6. Z. Ballard, H. Joung, A. Goncharov, J. Liang, K. Nugroho, D. Di Carlo, O. Garner, and A. Ozcan, “Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors,” npj Digital Medicine DOI: 10.1038/s41746-020-0274-y (2020) 7. Y. Rivenson, H. Wang, Z. Wei, K. de Haan, Y. Zhang, Y. Wu, H. Günaydın, J.E. Zuckerman, T. Chong, A.E. Sisk, L. M. Westbrook, W.D. Wallace, and A. Ozcan, “Virtual histological staining of unlabelled tissue- autofluorescence images via deep learning,” Nature Biomedical Engineering DOI: 10.1038/s41551-019- 0362-y (2019) 8. K. de Haan, Y. Zhang, J.E. Zuckerman, T. Liu, A.E. Sisk, M.F.P. Diaz, K. Jen, A. Nobori, S. Liou, S. Zhang, R. Riahi, Y. Rivenson, W.D. Wallace, and A. Ozcan, “Deep learning-based transformation of H&E stained tissues into special stains,” Nature Communications DOI: 10.1038/s41467-021-25221-2 (2021) 9. Z. Ballard, C. Brown, A.M. Madni, and A. Ozcan, “Machine learning and computation enabled intelligent sensor designs,” Nature Machine Intelligence DOI: 10.1038/s42256-021-00360-9 (2021) 10. T. Liu, Y. Li, H.C. Koydemir, Y. Zhang, E. Yang, M. Eryilmaz, H. Wang, J. Li, B. Bai, G. Ma, and A. Ozcan, “Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning,” Nature Biomedical Engineering DOI: 10.1038/s41551-023-01057-7 (2023)

Lensfree Super-resolution Microscope

Multiplexed Point-of-Care Sensing

Holographic Microscope

Lensfree Microscope

DNA Analyzer

Fluorescence Microscope

Deep learning microscopy

Imaging Flow-Cytometer

Optica (2017) OSA OPN (2018)

Figure 1. Computational imaging and sensing systems [1-10].

RSC Tokyo International Conference, Makuhari Messe, Chiba, Japan, September 7-8, 2023.

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