Basic and Clinical Neuroscience Journal
مجله علوم اعصاب پایه و بالینی
BCN
Medical Sciences
http://bcn.iums.ac.ir
137
journal137
2008-126X
2228-7442
10.32598/bcn
en
jalali
1395
10
1
gregorian
2017
1
1
8
1
online
1
fulltext
en
Neural Imaging Using Single-Photon Avalanche Diodes
Computational Neuroscience
Computational Neuroscience
Methodological Notes
Methodological Notes
<p style="text-align: justify;"><strong>Introduction:</strong> This paper analyses the ability of single-photon avalanche diodes (SPADs) for neural imaging. The current trend in the production of SPADs moves toward the minimumdark count rate (DCR) and maximum photon detection probability (PDP). Moreover, the jitter response which is the main measurement characteristic for the timing uncertainty is progressing.<br>
<strong>Methods: </strong>The neural imaging process using SPADs can be performed by means of florescence lifetime imaging (FLIM), time correlated single-photon counting (TCSPC), positron emission tomography (PET), and single-photon emission computed tomography (SPECT).<br>
<strong>Results:</strong> This trend will result in more precise neural imaging cameras. While achieving low DCR SPADs is difficult in deep submicron technologies because of using higher doping profiles, higher PDPs are reported in green and blue part of light. Furthermore, the number of pixels integrated in the same chip is increasing with the technology progress which can result in the higher resolution of imaging.<br>
<strong>Conclusion:</strong> This study proposes implemented SPADs in Deep-submicron technologies to be used in neural imaging cameras, due to the small size pixels and higher timing accuracies.</p>
Neuroimaging, Medical imaging
19
26
http://bcn.iums.ac.ir/browse.php?a_code=A-10-831-1&slc_lang=en&sid=1
Mohammad Azim
Karami
karami@iust.ac.ir
13700319475328460010000
13700319475328460010000
Yes
Department of Electronic Engineering, School of Electrical Engineering, University of Science and Technology, Tehran, Iran.
Misagh
Ansarian
azimkarami@gmail.com
13700319475328460010001
13700319475328460010001
No
Department of Electronic Engineering, School of Electrical Engineering, University of Science and Technology, Tehran, Iran.