Results 61 to 70 of about 2,892,707 (247)

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

Advanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

Alzheimer’s Disease Detection from Retinal Images Using Machine Learning and Deep Learning Techniques: A Perspective

Applied Sciences
Alzheimer’s disease (AD) is a neurodegenerative disease that results in a loss of cognitive functions. The early discovery of it can potentially stop or decrease the severity of AD. Extensive research has been conducted to find AD biomarkers.
Adilet Uvaliyev, Leanne Lai Hang Chan
doaj   +1 more source

Evaluating inner retinal dimples after inner limiting membrane removal using multimodal imaging of optical coherence tomography

BMC Ophthalmology, 2018
Background To evaluate inner retinal dimples after peeling of the inner limiting membrane (ILM) for macular holes (lamellar macular hole [LMH] and full-thickness macular hole [FTMH]) via multiple imaging modes of spectral-domain optical coherence ...
Jingjing Liu, Yiye Chen, Shiyuan Wang, Xiang Zhang, Peiquan Zhao   +4 more
doaj   +1 more source

Robust detection of microaneurysms for sight threatening retinopathy screening [PDF]

, 2008
Diabetic retinopathy is one of the major causes of blindness. However diabetic retinopathy does not usually cause a loss of sight until it has reached an advanced stage.
Bhalerao, Abhir, Anand, Sarabjot Singh, Pounnusamy Saravanan, Saravanan, Ponnusamy, Amiya Patanaik, Sarabjot Anand, Patanaik, Amiya, Abhir Bhalerao   +7 more
core   +1 more source

Forward‐Biased Perovskite Photodiodes for In‐Sensor Optical Change Sensing

Advanced Functional Materials, EarlyView.
A forward‐biased perovskite photodiode is introduced as an in‐sensor analog preprocessing unit that uses current balancing between photocurrent and injection current to generate optical changes relative to programmable optical reference levels. The device directly converts reference‐relative optical changes into bipolar current signals, enabling sensor‐
Eungseon Yeon, Je‐Jun Lee, Somin Yun, Sangin Hahn, Chanhyeok Kim, Jinsoo Park, Jung Pyo Hong, Seong‐Jun Han, Jung Woo Kim, Jeong Hwan Lee, Subin Jeon, Youngmin Kim, Gunuk Wang, Hanul Min, Do Kyung Hwang   +14 more
wiley   +1 more source

Engineering Concentration‐Dependent Intravitreal Mobility via Cyclic Arginine‐Enriched Nanocarrier Surface Modification: In Vivo Proof‐of‐Concept in a Porcine Large Animal Model

Advanced Healthcare Materials, EarlyView.
In this study, Hammer et al. highlight cyclic‐arginine surface engineering as a highly biocompatible, controllable, and concentration‐dependent regulator of intravitreal nanoparticle mobility in vivo in a translational large animal model. The cyclic arginine surface‐modification supports the development of next‐generation biomaterials for long‐acting ...
Maximilian Hammer, Bryan Calder Ackermann, Anna Stoß, Niklas Junker, Ludwig Geisweid, Sabrina Wohlfart, Jonathan Herth, Simon William Pohl, Manuel Ben Böhmann, André Schulz, Victor Aristide Augustin, Gerd Uwe Auffarth, Philipp Uhl   +12 more
wiley   +1 more source

SVM-based texture classification in optical coherence tomography [PDF]

, 2013
This paper describes a new method for automated textureclassification for glaucoma detection using high resolutionretinal Optical Coherence Tomography (OCT). OCT is anon-invasive technique that produces cross-sectional imageryof ocular tissue.
Alin Achim, James E Morgan, Anantrasirichai, N, Nicholson, Lindsay B, Achim, Alin M, Irina Erchova, N. Anantrasirichai, Morgan, James, Lindsay Nicholson, Erchova, Irina   +9 more
core   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Forming optimal projection images from intra-retinal layers using curvelet-based image fusion method

Journal of Medical Signals and Sensors, 2020
Background: Image fusion is the process of combining the information of several input images into one image. Projection images obtained from three-dimensional (3D) optical coherence tomography (OCT) can show inlier retinal pathology and abnormalities ...
Jalil Jalili, Hossein Rabbani, Alireza Mehri Dehnavi, Raheleh Kafieh, Mohammadreza Akhlaghi   +4 more
doaj   +1 more source

Development of retinal blood vessel segmentation methodology using wavelet transforms for assessment of diabetic retinopathy [PDF]

, 2005
Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel diameter and patterns in the retina.
Mitchell, P., Jelinek, Herbert J., Cesar, R.M., Jr., Cornforth, D.J., Bossomaier, T., Leandro, J.J.G., Soares, J.V.B., Cree, Michael J.   +7 more
core