Response to Comment on “Ghost cytometry”

  • Sadao Ota
    ThinkCyte Inc., 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Ryoichi Horisaki
    Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.
  • Yoko Kawamura
    ThinkCyte Inc., 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Masashi Ugawa
    ThinkCyte Inc., 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Issei Sato
    ThinkCyte Inc., 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Hiroaki Adachi
    ThinkCyte Inc., 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Satoko Yamaguchi
    University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Katsuhito Fujiu
    University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Kayo Waki
    University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
  • Hiroyuki Noji
    University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.

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Description

<jats:p> Di Carlo <jats:italic>et al</jats:italic> . comment that our original results were insufficient to prove that the ghost cytometry technique is performing a morphologic analysis of cells in flow. We emphasize that the technique is primarily intended to acquire and classify morphological information of cells in a computationally efficient manner without reconstructing images. We provide additional supporting information, including images reconstructed from the compressive waveforms and a discussion of current and future throughput potentials. </jats:p>

Journal

  • Science

    Science 364 (6437), 2019-04-19

    American Association for the Advancement of Science (AAAS)

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