Next-generation Fundus Camera with Full Color Image Acquisition in 0-lx Visible Light by 1.12-micron Square Pixel, 4K, 30-fps BSI CMOS Image Sensor with Advanced NIR Multi-spectral Imaging System

Multi-spectral imaging technique plays an important role in real-world applications such as medicine and medical detections. This paper proposes a cervical cancer cell screening method to simultaneously adopt TBS classification and DNA quantitative analysis for a single cell smear. Through using compound staining on a smear, the cytoplasm is stained by Papanicolauo and the nucleus is stained by Feulgen. The main evaluation parameter is the DNA content of the nucleus, not the subjective description of cell morphology, which is more objective than the TBS classification method and reduces the chances of missing a diagnosis due to subjective factors. Each nucleus has its own DI value and color image of the whole cell, which is convenient for doctors as it allows them to review and confirm the morphology of cells with a nucleus DI of over 2.5. Mouse liver smears and cervical cases are utilized as the measuring specimens to evaluate the performance of the microscope multi-spectral imaging system; illustrative results demonstrate that the proposed system qualifies, with high accuracy and reliability, and further presents wide application prospects in the early diagnosis of cervical cancer.

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A CMOS image sensor extracting color image feature values for object categorization system

2008 IEEE Sensors ◽

10.1109/icsens.2008.4716598 ◽

2008 ◽

Author(s):

T. Kubo ◽

S. Sugawa

Keyword(s):

Color Image ◽

Cmos Image Sensor ◽

Image Sensor ◽

Image Feature ◽

Object Categorization ◽

Categorization System ◽

Feature Values

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The Design of High-Speed CMOS Imaging System Based on SOPC Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.39.523 ◽

2010 ◽

Vol 39 ◽

pp. 523-528

Author(s):

Xin Hua Yang ◽

Yuan Yuan Shang ◽

Da Wei Xu ◽

Hui Zhuo Niu

Keyword(s):

High Speed ◽

Imaging System ◽

Image Acquisition ◽

Image Data ◽

Image Sensor ◽

Acquisition System ◽

Storage Unit ◽

Data Encoding ◽

Acquisition Speed ◽

Image Acquisition System

This paper introduces a design of a high-speed image acquisition system based on Avalon bus which is supported with SOPC technology. Some peripherals embedded in Avalon bus were customized and utilized in this system, such as imaging unit, decoding unit and storage unit, and these improved the speed of the whole imaging system. The data is compressed to three-fourths of the original by the decoding unit. A custom DMA is designed for moving the image data to the two caches of the SDRAM. This approach discards the method that FIFO must be put up in the traditional data acquisition system. And therefore, it reduced the CPU’s task for data moving. At the same time, the image acquisition and the data transmission can complete a parallel job. Finally, the design is worked on the high-speed image acquisition system which is made up of 2K*2K CMOS image sensor. And it improved the image acquisition speed by three ways: data encoding, custom DMA controller and the parallel processing.

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An Optical Filter-Less CMOS Image Sensor with Differential Spectral Response Pixels for Simultaneous UV-Selective and Visible Imaging

Sensors ◽

10.3390/s20010013 ◽

2019 ◽

Vol 20 (1) ◽

pp. 13

Author(s):

Yhang Ricardo Sipauba Carvalho da Silva ◽

Rihito Kuroda ◽

Shigetoshi Sugawa

Keyword(s):

Visible Light ◽

Spectral Sensitivity ◽

Dynamic Range ◽

Uv Light ◽

Spectral Response ◽

Cmos Image Sensor ◽

Image Sensor ◽

Oxide Semiconductor ◽

Conversion Gain ◽

Uv Sensitivity

This paper presents a complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) capable of capturing UV-selective and visible light images simultaneously by a single exposure and without employing optical filters, suitable for applications that require simultaneous UV and visible light imaging, or UV imaging in variable light environment. The developed CIS is composed by high and low UV sensitivity pixel types, arranged alternately in a checker pattern. Both pixel types were designed to have matching sensitivities for non-UV light. The UV-selective image is captured by extracting the differential spectral response between adjacent pixels, while the visible light image is captured simultaneously by the low UV sensitivity pixels. Also, to achieve high conversion gain and wide dynamic range simultaneously, the lateral overflow integration capacitor (LOFIC) technology was introduced in both pixel types. The developed CIS has a pixel pitch of 5.6 µm and exhibits 172 µV/e− conversion gain, 131 ke− full well capacity (FWC), and 92.3 dB dynamic range. The spectral sensitivity ranges of the high and low UV sensitivity pixels are of 200–750 nm and 390–750 nm, respectively. The resulting sensitivity range after the differential spectral response extraction is of 200–480 nm. This paper presents details regarding the CIS pixels structures, doping profiles, device simulations, and the measurement results for photoelectric response and spectral sensitivity for both pixel types. Also, sample images of UV-selective and visible spectral imaging using the developed CIS are presented.

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