A MOS Image Sensor with Microlenses Built by Sub-Wavelength Patterning

Author(s):  
Kimiaki Toshikiyo ◽  
Takanori Yogo ◽  
Motonori Ishii ◽  
Kazuhiko Yamanaka ◽  
Toshinobu Matsuno ◽  
...  
Keyword(s):  
2005 ◽  
Vol 869 ◽  
Author(s):  
Peter B. Catrysse

AbstractThe structures that can be implemented and the materials that are used in complementary metal-oxide semiconductor (CMOS) integrated circuit (IC) technology are optimized for electronic performance. However, they are also suitable for manipulating and detecting optical signals. In this paper, we show that while CMOS scaling trends are motivated by improved electronic performance, they are also creating new opportunities for controlling and detecting optical signals at the nanometer scale. For example, in 90-nm CMOS technology the minimum feature size of metal interconnects reaches below 100 nm. This enables the design of nano-slits and nano-apertures that allow control of optical signals at sub-wavelength dimensions. The ability to engineer materials at the nanoscale even holds the promise of creating meta-materials with optical properties, which are unlike those found in the world around us. As an early example of the monolithic integration of electronics and sub-wavelength metal optics, we focus on integrated color pixels (ICPs), a novel color architecture for CMOS image sensors. Following the trend of increased integration in the field of CMOS image sensors, we recently integrated color-filtering capabilities inside image sensor pixels. Specifically, we demonstrated wavelength selectivity of sub-wavelength patterned metal layers in a 180-nm CMOS technology. To fulfill the promise of monolithic photonic integration and to design useful nanophotonic components, such as those employed in ICPs, we argue that analytical models capturing the underlying physical mechanisms of light-matter interaction are of utmost importance.


2017 ◽  
Vol 137 (2) ◽  
pp. 48-58
Author(s):  
Noriyuki Fujimori ◽  
Takatoshi Igarashi ◽  
Takahiro Shimohata ◽  
Takuro Suyama ◽  
Kazuhiro Yoshida ◽  
...  

Author(s):  
Makoto Motoyoshi ◽  
Hirofumi Nakamura ◽  
Manabu Bonkohara ◽  
Mitsumasa Koyanagi
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2020 ◽  
Vol 2020 (7) ◽  
pp. 143-1-143-6 ◽  
Author(s):  
Yasuyuki Fujihara ◽  
Maasa Murata ◽  
Shota Nakayama ◽  
Rihito Kuroda ◽  
Shigetoshi Sugawa

This paper presents a prototype linear response single exposure CMOS image sensor with two-stage lateral overflow integration trench capacitors (LOFITreCs) exhibiting over 120dB dynamic range with 11.4Me- full well capacity (FWC) and maximum signal-to-noise ratio (SNR) of 70dB. The measured SNR at all switching points were over 35dB thanks to the proposed two-stage LOFITreCs.


2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR


2018 ◽  
Vol 23 (6) ◽  
pp. 573-585
Author(s):  
D.A. Suponnikov ◽  
◽  
A.N. Putilin ◽  
E.A. Tatarinova ◽  
Z.G. Zhgunev ◽  
...  
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PIERS Online ◽  
2005 ◽  
Vol 1 (1) ◽  
pp. 37-41 ◽  
Author(s):  
Pavel A. Belov ◽  
C. R. Simovski

Author(s):  
Benedict Drevniok ◽  
St. John Dixon-Warren ◽  
Oskar Amster ◽  
Stuart L Friedman ◽  
Yongliang Yang

Abstract Scanning microwave impedance microscopy was used to analyze a CMOS image sensor sample to reveal details of the dopant profiling in planar and cross-sectional samples. Sitespecific capacitance-voltage spectroscopy was performed on different regions of the samples.


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