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In-pixel foreground and contrast enhancement circuits with customizable mapping.
Sci Rep
January 2025
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.
This paper presents an in-pixel contrast enhancement circuit that performs image processing directly within the pixel circuit. The circuit leverages HyperFET, a hybrid device combining a MOSFET and a phase transition material (PTM), to enhance performance. It can be tuned for different modes of operation.
View Article and Find Full Text PDFEnhancing spectral imaging with multi-condition image fusion.
Sci Rep
January 2025
Centre for Applied Photonics, INESC TEC, Rua do Campo Alegre 687, 4169-007, Porto, Portugal.
Spectral Imaging techniques such as Laser-induced Breakdown Spectroscopy (LIBS) and Raman Spectroscopy (RS) enable the localized acquisition of spectral data, providing insights into the presence, quantity, and spatial distribution of chemical elements or molecules within a sample. This significantly expands the accessible information compared to conventional imaging approaches such as machine vision. However, despite its potential, spectral imaging also faces specific challenges depending on the limitations of the spectroscopy technique used, such as signal saturation, matrix interferences, fluorescence, or background emission.
View Article and Find Full Text PDFBrain-Computer Interface and Electrochemical Sensor Based on Boron-Nitrogen Co-Doped Graphene-Diamond Microelectrode for EEG and Dopamine Detection.
ACS Sens
January 2025
Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion, School of Chemistry and Chemical Engineering, Tianjin University of Technology, Tianjin 300384, PR China.
The simultaneous detection of electroencephalography (EEG) signals and neurotransmitter levels plays an important role as biomarkers for the assessment and monitoring of emotions and cognition. This paper describes the development of boron and nitrogen codoped graphene-diamond (BNGrD) microelectrodes with a diameter of only 200 μm for sensing EEG signals and dopamine (DA) levels, which have been developed for the first time. The optimized BNGrD microelectrode responded sensitively to both EEG and DA signals, with a signal-to-noise ratio of 9 dB for spontaneous EEG signals and a limit of detection as low as 124 nM for DA.
View Article and Find Full Text PDFCardiac thrombus: can T1 and T2 mapping replace contrast enhanced images?
Clin Radiol
December 2024
Ankara University Faculty of Medicine, Department of Radiology, Ankara, Turkey. Electronic address:
Aim: The aim of the study was to evaluate and compare contrast-to-noise ratios (CNRs) and signal-to-noise ratios (SNRs) of pre- and postcontrast T1 maps, T2 maps, early and late gadolinium images in terms of visual assessment of cardiac thrombus, to see if maps can replace contrast-enhanced images for detection of cardiac thrombus.
Materials And Methods: T1, T2 maps, and postcontrast images of 22 patients with cardiac thrombus were retrospectively evaluated for SNR and CNR. SNR and CNR values of thrombus, blood pool, and myocardium measured at maps and contrast-enhanced images were compared with each other.
Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation.
Neural Netw
January 2025
School of automotive studies, Tongji University, Shanghai 201804, China.
Integrating visual features has been proven effective for deep learning-based speech quality enhancement, particularly in highly noisy environments. However, these models may suffer from redundant information, resulting in performance deterioration when the signal-to-noise ratio (SNR) is relatively high. Real-world noisy scenarios typically exhibit widely varying noise levels.
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