A silicon retina is an intelligent vision sensor that can execute real-time image preprocessing by using a parallel analog circuit that mimics the structure of the neuronal circuits in the vertebrate retina. For enhancing the sensor's robustness to changes in illumination in a practical environment, we have designed and fabricated a silicon retina on the basis of a computational model of brightness constancy. The chip has a wide-dynamic-range and shows a constant response against changes in the illumination intensity. The photosensor in the present chip approximates logarithmic illumination-to-voltage transfer characteristics as a result of the application of a time-modulated reset voltage technique. Two types of image processing, namely, Laplacian-Gaussian-like spatial filtering and computing the frame difference, are carried out by using resistive networks and sample/hold circuits in the chip. As a result of these processings, the chip exhibits brightness constancy over a wide range of illumination. The chip is fabricated by using the 0.25- μm complementary metal-oxide semiconductor image sensor technology. The number of pixels is 64 × 64, and the power consumption is 32 mW at the frame rate of 30 fps. We show that our chip not only has a wide-dynamic-range but also shows a constant response to the changes in illumination.
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http://dx.doi.org/10.1109/TNN.2011.2161591 | DOI Listing |
Int J Retina Vitreous
January 2025
Ophthal - Hospital Especializado, São Paulo, SP, Brazil.
Background: Clinically significant macular edema (CME) is the leading cause of visual loss after ophthalmologic surgery due to the release of inflammatory mediators promoted by the procedures. We aimed to evaluate the outcomes of intravitreal Ozurdex (700 µg dexamethasone) implants as a primary therapeutical option for post-surgical macular edema cases.
Methods: Patients with post-surgical macular edema diagnosed by optical coherence tomography (Cirrus SD-OCT) and treated with Ozudex were selected for the current study.
Adv Sci (Weinh)
November 2024
Department of Materials Science and Engineering, Stanford University, 350 Jane Stanford Way, Stanford, CA, 94305, USA.
Silicon-based microelectronics can scalably record and modulate neural activity at high spatiotemporal resolution, but their planar form factor poses challenges in targeting 3D neural structures. A method for fabricating tissue-penetrating 3D microelectrodes directly onto planar microelectronics using high-resolution 3D printing via 2-photon polymerization and scalable microfabrication technologies are presented. This approach enables customizable electrode shape, height, and positioning for precise targeting of neuron populations distributed in 3D.
View Article and Find Full Text PDFPurpose: In October 2023, other cases with early silicone oil opacification within hours after intraocular implantation in the absence of emulsification occurred. While multiple, small series of this phenomenon are now documented during the last decade, the cause was never unmasked. In this study, we analyzed explanted patient samples, unused samples of the affected, and a control batch of the same silicone oil.
View Article and Find Full Text PDFRetin Cases Brief Rep
October 2024
Ophthalmologist, supraspecialist in retina, vitreous and uveitis, FOSCAL clinic, Floridablanca, Santander, Colombia.
Purpose: To demonstrate the regenerative effects of Plasma membrane rich in growth factors (PRGFm) as an adjuvant in the surgical treatment of Full-thickness macular holes (FTMH) associated with MacTel type 2 (MacTel).
Methods: Observational study of a consecutive case series. Type 2 MacTel patients with FTMH.
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