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Takashi Tokuda

Researcher at Tokyo Institute of Technology

Publications -  282
Citations -  3711

Takashi Tokuda is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Image sensor & CMOS. The author has an hindex of 29, co-authored 280 publications receiving 3336 citations. Previous affiliations of Takashi Tokuda include National Presto Industries & Kyoto University.

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Proceedings ArticleDOI

An optical and potential dual-image CMOS sensor for on-chip neural and DNA imaging applications

TL;DR: A CMOS image sensor which is capable to simultaneously sense an optical and an op-chip potential image was designed and fabricated with target applications to sense neural activities and DNA spots in on-chip configuration.
Journal ArticleDOI

Electrochemical Evaluation of Geometrical Effect and Three-dimensionalized Effect of Iridium Oxide Electrodes Used for Retinal Stimulation

TL;DR: In this paper, the authors proposed a method for the evaluation of materials and mineral resources at National Taipei University of Technology (NTU of Taiwan) and Nara Institute of Science and Technology (NIT).
Journal ArticleDOI

Growth characteristics of GaInN on (0 0 0 1)sapphire by plasma-excited organometallic vapor phase epitaxy

TL;DR: In this paper, the growth characteristics of GaInN on a (0, 0, 0)sapphire substrate by plasma-excited organometallic vapor phase epitaxy (OMVPE) are investigated.
Proceedings ArticleDOI

An Energy-Efficient CMOS Biophotometry Sensor With Incremental DT-∑Δ ADC Conversion

TL;DR: A high-sensitivity incremental discrete time ∑Δ analog-to-digital converter (ADC) with variable clock and on-chip decimation for biophotometry sensing with among the best reported performances compared to previous solutions.
Proceedings ArticleDOI

A new neural imaging approach using a CMOS imaging device.

TL;DR: By using on-chip fluorescence imaging configuration, the use of a dedicated CMOS device for in vivo functional imaging of the mouse brain is developed and demonstrated and represents a novel approach for neural imaging.