Results 241 to 250 of about 12,985,730 (296)

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Multi-scale optical scanning holography for robust manipulation detection in satellite images. [PDF]

Sci Rep
Khairy M.
europepmc   +1 more source

When the body changes faster than the brain: a narrative and theoretical review of body schema updating after bariatric surgery. [PDF]

Front Nutr
Fava B, Spiezia C, Di Rosa C, Dalla Ragione L, Khazrai YM.   +4 more
europepmc   +1 more source

A Comprehensive Review of Multimodal Medical Image Fusion: Techniques, Evaluation, and Future Directions. [PDF]

Sensors (Basel)
Han P, Liu C, Wang C.
europepmc   +1 more source

DHAFGan: A dense hybrid attention fusion generative adversarial network for infrared and visible image fusion. [PDF]

PLoS One
Hong Q, Xu Z, Qin D, Zheng Y, Zhang H.
europepmc   +1 more source

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Improved image representation and sparse representation for image classification

Applied Intelligence, 2020
It seems that for multiple available images of the same object, the pixel values at the same image position are almost always different, which is especially obvious for the deformable object. This implies that it will be not easy to correctly classify the deformable object.
Shijun Zheng, Yongjun Zhang 0007, Wenjie Liu 0018, Yongjie Zou   +3 more
openaire   +2 more sources