國立虎尾科技大學 |

Embedded Systems for Photonic Cognitive Sensing.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Embedded Systems for Photonic Cognitive Sensing./
作者:	Gidony, David.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	162 p.
附註:	Source: Dissertation Abstracts International, Volume: 80-06(E), Section: B.
Contained By:	Dissertation Abstracts International80-06B(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13423751
ISBN:	9780438819153

Embedded Systems for Photonic Cognitive Sensing.
Gidony, David.

Embedded Systems for Photonic Cognitive Sensing. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 162 p.

Source: Dissertation Abstracts International, Volume: 80-06(E), Section: B.

Thesis (Ph.D.)--Columbia University, 2019.

This research addresses challenges in two major applications, both related to photonic cognitive sensing. The first part, "Implantable Photonic Nano-Probe Detectors for Neural Imaging", focuses on imaging system in the neural sciences field. The second part, "Advanced Control System for Optical Data Communications", covers embedded low power control systems for optical communications.

ISBN: 9780438819153Subjects--Topical Terms:

596380
Electrical engineering.

Embedded Systems for Photonic Cognitive Sensing.
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245 1 0 $a Embedded Systems for Photonic Cognitive Sensing.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 162 p.
500 $a Source: Dissertation Abstracts International, Volume: 80-06(E), Section: B.
500 $a Adviser: Keren Bergman.
502 $a Thesis (Ph.D.)--Columbia University, 2019.
520 $a This research addresses challenges in two major applications, both related to photonic cognitive sensing. The first part, "Implantable Photonic Nano-Probe Detectors for Neural Imaging", focuses on imaging system in the neural sciences field. The second part, "Advanced Control System for Optical Data Communications", covers embedded low power control systems for optical communications.
520 $a Implantable Photonic Nano-Probe Detectors for Neural Imaging.
520 $a This first part address the problem of simultaneous and real-time monitoring of dense brain neural activity, with the capability of cellular resolution and cell-type specificity included. For decades, electrophysiology has been the "gold standard" for the recording of neural activity. Despite recent advances, electrophysiology techniques can typically monitor fewer than 100 neurons simultaneously, due to the practical limits of electrode density. Additionally, the ability of direct monitoring specific cell types is not possible here. With the introduction of a growing panel of fluorescent optical reporters for brain function mapping, optical microscopy techniques have demonstrated the ability to track the activity of hundreds of neurons simultaneously in a much less invasive manner but with high spatial resolution, low-to-moderate temporal resolution and cell-type specificity. Unfortunately, only superficial layers of the brain can be imaged by free-space microscopy, due to the intrinsic light scattering and absorption limitation in brain tissue. To allow optical fluorescence imaging of deeper layers of the brain with proper a signal-to-noise ratio, a dense and scalable 3-D lattice of photo emitter and detector pixels (E-Pixels and D-Pixels, respectively) must be distributed on shanks for possible insertion into the brain. The 3-D lattice (combined fluorescent optical reporters) is expected to give an activity image of a very large neural population at an arbitrary depth in the brain. This work presents the design and implementation of the aforementioned 3-D photo- detectors (D-Pixels), associated with data processing and readout circuitries, for the future assembly of a probe-based system for functional imaging of neural activity. One of the main challenges of producing a probed-based version of a fluorescence microscope is the rejection of the light used to excite the fluorescent reporters. This is commonly done in the spectral domain with band-pass filters for free-space microscopy. However, these filters are not implementable with the proper optical density at the probe scale. The probe-based photo-detectors must be capable of rejecting the excitation light and capturing only the fluorescent response without the use of optical filters. Integrated Geiger-mode single-photon avalanche diodes (SPADs) are used as the sensing devices, which provide the ability to capture low fluorescence signals, fast response in the time domain, and direct digital readout. By engineering narrow E-Pixels angular-excitation fields and overlapping them with the narrow D-Pixels detection fields, fluorescent sources can be spatially localized. The detectors are embedded into four ultra-thin implantable shanks, associated with data processing units and readout circuits, all forming the photonic nano-probe detectors (also referred to as "D-Pixels Camera Chip (DCC)"). The shanks have dimensions of 110μmx50μm each, with 100 pixels along a shank (a total number of 400 pixels), distributed over 3mm length. The data generated by the photonic nano-probe detectors, is serially streamed out at a rate of 640Mbps, for offline analysis and image reconstruction. The photonic nano-probe detectors are fabricated in a conventional CMOS 0.13mum technology. This part of the thesis first proposes and develops the architecture of the photonic nano-probe detectors. The challenges of designing high density, ultra-thin probes with the aforementioned form factor, fabricated in CMOS 0.13μm technology is also discussed. Secondly, the design and implementation of testability and debugging options are mentioned, as playing an important role in achieving research goals. Last the design of lab experimental setups is presented and as well as the measurement results of the photonic nano-probe detectors. Experimental results indicate on achieving the crucial key features of the research work, the capability of rejecting the excitation light and capturing only the fluorescent decay response without the use of optical filters. Additionally, the results show that the photonic nano-probe detectors can precisely localize and map into a 2-D image, a light source within a pixel resolution. (Abstract shortened by ProQuest.).
590 $a School code: 0054.
650 4 $a Electrical engineering. $3 596380
650 4 $a Biomedical engineering. $3 588770
650 4 $a Communication. $3 556422
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710 2 $a Columbia University. $b Electrical Engineering. $3 1179181
773 0 $t Dissertation Abstracts International $g 80-06B(E).
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