TY - GEN
T1 - Raspberry pi-based low-cost portable optical coherence tomography to deliver health care services
AU - Cho, Hoseong
AU - Kim, Pilun
AU - Kim, Hyeree
AU - Wijesinghe, Ruchire Eranga
AU - Jeon, Mansik
AU - Kim, Jeehyun
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2023
Y1 - 2023
N2 - Research for miniaturization and portability of optical coherence tomography, which has received considerable attention as one of the pre-diagnosis methods, has been conducted for several years to further expand the utility of optical coherence tomography. In this study, we introduce a method that can dramatically reduce the size of a system and resources using a Raspberry Pi miniature computer and the proposed small spectrometer. The optical systems of the sample stage and the reference stage were configured as half-inch optical components to reduce the size of the system. The size of the sample stage was minimized by using a MEMS scanning mirror. We designed a board that converts the unipolar drive signal into a bipolar signal to drive the MEMS scanning mirror with Raspberry Pi. The MEMS mirror was controlled by a commercial AD/DA conversion board and a developed board that can be controlled via the general-purpose input-output (GPIO) pin of Raspberry Pi. Furthermore, we also designed the spectrometer to fit the 1-inch optical system. The camera was selected as a product that can supply power and transmit data through the USB terminal to operate all other components, including the camera, through a portable charger. Due to camera performance limitations, A-scan 5 kHz was the maximum speed, but the resolution was axial 8.5 μm (Air) and lateral 17.54 μm, showing similar performance to a commercial system. Although the operating speed is slow, it is expected to be used in various fields due to its portability advantage.
AB - Research for miniaturization and portability of optical coherence tomography, which has received considerable attention as one of the pre-diagnosis methods, has been conducted for several years to further expand the utility of optical coherence tomography. In this study, we introduce a method that can dramatically reduce the size of a system and resources using a Raspberry Pi miniature computer and the proposed small spectrometer. The optical systems of the sample stage and the reference stage were configured as half-inch optical components to reduce the size of the system. The size of the sample stage was minimized by using a MEMS scanning mirror. We designed a board that converts the unipolar drive signal into a bipolar signal to drive the MEMS scanning mirror with Raspberry Pi. The MEMS mirror was controlled by a commercial AD/DA conversion board and a developed board that can be controlled via the general-purpose input-output (GPIO) pin of Raspberry Pi. Furthermore, we also designed the spectrometer to fit the 1-inch optical system. The camera was selected as a product that can supply power and transmit data through the USB terminal to operate all other components, including the camera, through a portable charger. Due to camera performance limitations, A-scan 5 kHz was the maximum speed, but the resolution was axial 8.5 μm (Air) and lateral 17.54 μm, showing similar performance to a commercial system. Although the operating speed is slow, it is expected to be used in various fields due to its portability advantage.
UR - http://www.scopus.com/inward/record.url?scp=85152767510&partnerID=8YFLogxK
U2 - 10.1117/12.2651248
DO - 10.1117/12.2651248
M3 - Conference contribution
AN - SCOPUS:85152767510
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Optics and Biophotonics in Low-Resource Settings IX
A2 - Levitz, David
A2 - Ozcan, Aydogan
PB - SPIE
T2 - Optics and Biophotonics in Low-Resource Settings IX 2023
Y2 - 28 January 2023 through 29 January 2023
ER -