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Published in 2024 at "FEBS Open Bio"
DOI: 10.1002/2211-5463.13873
Abstract: Electron tomography of frozen, hydrated samples allows structure determination of macromolecular complexes that are embedded in complex environments. Provided that the target complexes may be localised in noisy, three-dimensional tomographic reconstructions, averaging images of multiple…
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Keywords:
image processing;
tomography;
electron;
processing pipeline ... See more keywords
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Published in 2018 at "Cytometry Part A"
DOI: 10.1002/cyto.a.23686
Abstract: IN the past decades, image cytometry has made great progress due to the advances in optical imaging and image processing. The central problem of image cytometry in many studies is cell segmentation which has received…
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Keywords:
image;
cell segmentation;
image cytometry;
image processing ... See more keywords
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Published in 2024 at "Journal of Medical Radiation Sciences"
DOI: 10.1002/jmrs.837
Abstract: The rapid advancement of technology has brought significant changes to various fields, including medical imaging (MI). This discussion paper explores the integration of computing technologies (e.g. Python and MATLAB), digital image processing (e.g. image enhancement,…
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Keywords:
computing technologies;
artificial intelligence;
image;
image processing ... See more keywords
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Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1406-8_13
Abstract: Cryo-electron microscopy has established as a mature structural biology technique to elucidate the three-dimensional structure of biological macromolecules. The Coulomb potential of the sample is imaged by an electron beam, and fast semi-conductor detectors produce…
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Keywords:
cryo electron;
microscopy;
electron microscopy;
biology ... See more keywords
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Published in 2024 at "Machine Vision and Applications"
DOI: 10.1007/s00138-023-01501-3
Abstract: The objective of this paper is to study the impact of limited datasets on deep learning techniques and conventional methods in semantic image segmentation and to conduct a comparative analysis in order to determine the…
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Keywords:
deep learning;
image;
image processing;
limited datasets ... See more keywords
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Published in 2020 at "Analytical and Bioanalytical Chemistry"
DOI: 10.1007/s00216-020-02960-7
Abstract: Despite recent advancements in the field of microfluidic paper-based analytical devices (μPADs), a key challenge remains in developing a simple and efficient μPAD with customized imaging capabilities for antioxidant assays. In the present study, we…
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Keywords:
pmaa ceo2;
ceo2;
ceo2 nanoparticle;
image processing ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-03974-0
Abstract: The objective of this study is to propose an alternative, hybrid solution method for diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is based on using both image processing and deep…
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Keywords:
diabetic retinopathy;
fundus images;
retinopathy detection;
retinal fundus ... See more keywords
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Published in 2018 at "Bulletin of Engineering Geology and the Environment"
DOI: 10.1007/s10064-018-1298-2
Abstract: Block geometry is commonly the most important feature determining the behaviour of a rock mass and directly controls the structural instability in underground openings or surface cuttings. Various methods are used to estimate block geometry…
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Keywords:
image;
block;
geometry;
image processing ... See more keywords
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Published in 2025 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-025-00784-5
Abstract: This paper investigates the use of High-Level Synthesis (HLS) for designing parallel hardware architectures on FPGAs. HLS compilers, like the one used in Vitis HLS, extract the available parallelism so the HLS languages should be…
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Keywords:
image processing;
fpgas;
hls;
high level ... See more keywords
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Published in 2024 at "Journal of Applied Phycology"
DOI: 10.1007/s10811-024-03339-2
Abstract: Benthic phototrophic communities play a crucial role in the functioning of shallow lake ecosystems. The complexity of benthic algal communities poses challenges for exploring their fine structures using traditional methods such as light microscopy. However,…
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Keywords:
image processing;
processing method;
algal biofilms;
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Published in 2021 at "Journal of Nondestructive Evaluation"
DOI: 10.1007/s10921-021-00779-5
Abstract: Radiography testing (RT) is a well-established non-destructive method for the detection and measurement of defects in the welded objects. Unfortunately, however, the image quality of radiographs is often low mainly due to the unavoidable detection…
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Keywords:
welded objects;
method;
radiography testing;
image ... See more keywords