Outputs (3)

Multimodal image and spectral feature learning for efficient analysis of water-suspended particles. (2023)
Journal Article
TAKAHASHI, T., LIU, Z., THEVAR, T., BURNS, N., LINDSAY, D., WATSON, J., MAHAJAN, S., YUKIOKA, S., TANAKA, S., NAGAI, Y. and THORNSTON, B. 2023. Multimodal image and spectral feature learning for efficient analysis of water-suspended particles. Optics express [online], 31(5), pages 7492-7504. Available from: https://doi.org/10.1364/OE.470878

We have developed a method to combine morphological and chemical information for the accurate identification of different particle types using optical measurement techniques that require no sample preparation. A combined holographic imaging and Raman... Read More about Multimodal image and spectral feature learning for efficient analysis of water-suspended particles..

Unsupervised feature learning and clustering of particles imaged in raw holograms using an autoencoder. (2021)
Journal Article
LIU, Z., THEVAR, T., TAKAHASHI, T., BURNS, N., YAMADA, T., SANGEKAR, M., LINDSAY, D., WATSON, J. and THORNTON, B. 2021. Unsupervised feature learning and clustering of particles imaged in raw holograms using an autoencoder. Journal of the Optical Society of America A [online], 38(10), pages 1570-1580. Available from: https://doi.org/10.1364/JOSAA.424271

Digital holography is a useful tool to image microscopic particles.Reconstructed holograms give high-resolution shape information that can beused to identify the types of particles. However, the process ofreconstructing holograms is computationally i... Read More about Unsupervised feature learning and clustering of particles imaged in raw holograms using an autoencoder..

Digital in-line holography for large-volume analysis of vertical motion of microscale marine plankton and other particles. (2021)
Journal Article
LIU, Z., TAKAHASHI, T., LINDSAY, D., THEVAR, T., SANGEKAR, M., WATANABE, H.K., BURNS, N., WATSON, J. and THORNTON, B. 2021. Digital in-line holography for large-volume analysis of vertical motion of microscale marine plankton and other particles. IEEE journal of oceanic engineering [online], 46(4), pages 1248-1260. Available from: https://doi.org/10.1109/JOE.2021.3066788

Measuring the distribution, characteristics and dynamics of marine microscale plankton and other particulate matter is essential to understand the vertical flux of elements in the marine environment. Digital holographic microscopy is a powerful appro... Read More about Digital in-line holography for large-volume analysis of vertical motion of microscale marine plankton and other particles..