Iman Ansaripour

Bio: Iman Ansaripour is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Energy harvesting & Pixel. The author has an hindex of 1, co-authored 3 publications receiving 3 citations.

Design and Simulations of an Energy Harvesting Capable CMOS Pixel for Implantable Retinal Prosthesis

Abstract: A new pixel is designed with the capability of imaging and energy harvesting for the retinal prosthesis implant in 0.18 µm standard Complementary Metal Oxide Semiconductor technology. The pixel conversion gain and dynamic range, are 2.05 $$\upmu{\text{V}}/{\text{e}}^{ - }$$ and 63.2 dB. The power consumption 53.12 pW per pixel while energy harvesting performance is 3.87 nW in 60 klx of illuminance per pixel. These results have been obtained using post layout simulation. In the proposed pixel structure, the high power production capability in energy harvesting mode covers the demanded energy by using all available p-n junction photo generated currents.

Design of an Energy Harvesting Capable Pixel in 90 nm CMOS Technology Optimized for Implantable Retinal Prosthesis

Abstract: An energy harvesting capable pixel is designed in 90 nm standard complementary metal oxide semiconductor (CMOS) technology with the spectral response optimization considerations. The pixel can perform 2.22 nW power harvesting in 60 klx of illumination per pixel, while the pixel itself consumes 56.26 pW power. Moreover, the pixel could achieve 1.70 μV⁄e− conversion gain and 60.72 dB of dynamic range. The high energy harvesting capability in spite of 90 nm CMOS technology power production limitations is achieved due to triple and dual junctions applications in photosensitive area and floating diffusion regions respectively. In addition, the pixel is engineered to utilize all available pn junctions in energy harvesting mode. It should be noted that, using a triple junction in photosensitive area has enabled spectral response engineering capability, which results in an optimized spectral response of pixel for the spectrums that the human eye exhibits most relative sensitivity (within a spectral range of about 550 nm).

A wide spectral range Single-Photon Avalanche Diode implemented in 65nm standard CMOS Technology

Abstract: This paper presents a wide spectral range Single-Photon Avalanche Diode (SPAD) implemented in 65nm standard CMOS (Complementary Metal Oxide Semiconductor) Technology. The wide wavelength sensitivity is achieved using the p-type substrate layer instead of using a different well implanted inside the substrate. The higher electron impact ionization coefficient in compare with the hole impact ionization coefficient results in an increase in the photon detection probability (PDP) in the larger wavelengths. Low PDP in compare with the older technologies is predictable according to the higher doping profiles of the modern deep-submicron technologies. Both the optical emission from the active region and spectral response detection is measured and analyzed in this paper.

Ionic liquid assisted synthesis of chromium oxide (Cr2O3) nanoparticles and their application in glucose sensing

Abstract: Here we report a solvothermal–hydrothermal based method for the synthesis of spherical chromium oxide (Cr2O3) nanoparticles in 1-butyl-3-methyl imidazolium bromide ([BMIM]+[Br]−) and water (1:1 V/V) as a solvent. Electrochemical glucose sensing was performed by using cyclic voltammetry (CV) and differential pulse voltammetry (DPV) techniques. The working electrode, glassy carbon electrode (GCE) was modified by using the synthesized Cr2O3 nanoparticles. The performance of the Cr2O3 nanoparticles modified GCE for glucose sensing is found to be highly sensitive with the limits of detection 1.47 × 10−4 M (LOD) and limits of quantification (LOQ) 4.91 × 10−4 M. The linear range of glucose detection is determined to be 2.78 × 10−4 M to 1.94 × 10−3 M. The sensitivity of the modified GCE for glucose is determined to be 2.25 × 10−2 A L mol−1 cm−2. From DPV, LOD corresponds to 1.08 × 10−4 M while the LOQ is determined at 3.60 × 10−4 M. The linear range of glucose detection by DPV is lower, 8.33 × 10−4 M to 1.94 × 10−3 M than that of CV. The glucose sensitivity also improves to 3.07 × 10−3 A L mol−1 cm−2 by DPV technique. Finally, the Cr2O3 nanoparticles modified GCE is used successfully to determine the glucose contents in human urine samples.

Novel Low-Carbon Energy Solutions for Powering Emerging Wearables, Smart Textiles, and Medical Devices

Abstract: One of the most major agendas to mitigate climate change is the transition to low-carbon energy extraction. Furthermore, developing cutting-edge prototypes for wearable technology, innovative housing, transportation, telecommunications, sophisticated electronics,...

Journey of Visual Prosthesis with Progressive Development of Electrode Design Techniques and Experience with CMOS Image Sensors: A Review

Abstract: The objective of visual prosthesis is to develop techniques which can functionally replace the degenerated photoreceptors either by inserting the clinical aid inside the eye or by providing externa...

Design of an Energy Harvesting Capable Pixel in 90 nm CMOS Technology Optimized for Implantable Retinal Prosthesis

Abstract: An energy harvesting capable pixel is designed in 90 nm standard complementary metal oxide semiconductor (CMOS) technology with the spectral response optimization considerations. The pixel can perform 2.22 nW power harvesting in 60 klx of illumination per pixel, while the pixel itself consumes 56.26 pW power. Moreover, the pixel could achieve 1.70 μV⁄e− conversion gain and 60.72 dB of dynamic range. The high energy harvesting capability in spite of 90 nm CMOS technology power production limitations is achieved due to triple and dual junctions applications in photosensitive area and floating diffusion regions respectively. In addition, the pixel is engineered to utilize all available pn junctions in energy harvesting mode. It should be noted that, using a triple junction in photosensitive area has enabled spectral response engineering capability, which results in an optimized spectral response of pixel for the spectrums that the human eye exhibits most relative sensitivity (within a spectral range of about 550 nm).