Results 121 to 130 of about 65,529 (267)
Journal of Microscopy, EarlyView.Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran +7 more
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Journal of Microscopy, EarlyView.Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah +8 more
wiley +1 more source
3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy
Journal of Microscopy, EarlyView.Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf +4 more
wiley +1 more source
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
The Journal of Physiology, EarlyView.Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source
Missing Texture Reconstruction Method Based on Perceptually Optimized Algorithm
EURASIP Journal on Advances in Signal Processing, 2010 This paper presents a simple and effective missing texture reconstruction method based on a perceptually optimized algorithm. The proposed method utilizes the structural similarity (SSIM) index as a new visual quality measure for reconstructing missing ...
Ogawa Takahiro, Haseyama Miki
doaj
Automatic Colorization of Digital Movies using Decolorization Models and SSIM Index [PDF]
Annals of computer science and information systems, 2023 Andrzej Śluzek +2 more
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Research on improved underwater cable image processing technique based on CNN-GAN
Frontiers in Energy ResearchIn this study, we propose a CNN-GAN-based real-time processing technique for filtering images of underwater cables used in power systems. This addresses the excessive interference impurities that are frequently observed in images captured by remotely ...
Anshuo Yao, Jiong Chen
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SMART: Speedy Measurement of Arabidopsis Rosette Traits
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu +5 more
wiley +1 more source
Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Accurate color matching is essential to achieving aesthetically realistic outcomes in dental crown and bridge restorations. Traditional visual methods, however, are often affected by lighting variations and observer subjectivity. These limitations can lead to metamerism and inconsistent clinical outcomes.
Yujun Feng +5 more
wiley +1 more source
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source