In this review, the concept, design, performance, and a functional demonstration of multifunctional complementary metal-oxide-semiconductor (CMOS) image sensors dedicated to on-chip biosensing applications are described. We developed a sensor architecture that allows flexible configuration of a sensing pixel array consisting of optical and electric sensing pixels, and designed multifunctional CMOS image sensors that can sense light intensity and electric potential or apply a voltage to an on-chip measurement target. We describe the sensors' architecture on the basis of the type of electric measurement or imaging functionalities.
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http://dx.doi.org/10.3390/ma4010084 | DOI Listing |
Sensors (Basel)
December 2024
Department of System Semiconductor, Dongguk University, Seoul 04620, Republic of Korea.
In this study, we describe a low-noise complementary metal-oxide semiconductor (CMOS) image sensor (CIS) with a 10/11-bit hybrid single-slope analog-to-digital converter (SS-ADC). The proposed hybrid SS-ADC provides a resolution of 11 bits in low-light and 10 bits in high-light. To this end, in the low-light section, the digital-correlated double sampling method using a double data rate structure was used to obtain a noise performance similar to that of the 11-bit SS-ADC under low-light conditions, while maintaining linear in-out characteristics.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Electronic Engineering, Tsinghua University, Beijing, China.
Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources. This study proposes a spectral convolutional neural network (SCNN) with matter meta-imaging. The optical convolutional layer is implemented by integrating very large-scale and pixel-aligned spectral filters on CMOS image sensor.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Bio and Brain engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Nocturnal and crepuscular fast-eyed insects often exploit multiple optical channels and temporal summation for fast and low-light imaging. Here, we report high-speed and high-sensitive microlens array camera (HS-MAC), inspired by multiple optical channels and temporal summation for insect vision. HS-MAC features cross-talk-free offset microlens arrays on a single rolling shutter CMOS image sensor and performs high-speed and high-sensitivity imaging by using channel fragmentation, temporal summation, and compressive frame reconstruction.
View Article and Find Full Text PDFJ Dent Educ
December 2024
Instituto de Odontoestomatología, Escuela de Odontología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile.
Aim: To compare thequality and accuracy of radiographic images obtained by dentistry students from a Chilean university using photostimulable phosphor plates (PSP) and complementary metal oxide semiconductor (CMOS) receptors.
Materials And Methods: An experimental study was carried out in which 31 dental students used PSP and CMOS receptors to acquire radiographic images with the aid of a phantom. The time required to generate a radiograph was recorded.
ACS Sens
December 2024
Department of Physics, Dongguk university, Seoul 04620, Republic of Korea.
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