the absorption data. Y.H. and A.-T.N. checked the buffer compatibility for DNase I digestion and in vitro CRISPR–Cas reaction. M.L.G. and M.J.K. optimized the AgNC synthesis. S.H. and H.-C.Y. wrote the article with input from all authors. H.-C.Y. supervised the project. ...
Automatic detection of neurite fragments with Neurolucida 360 For fully automated tracing of neurites, each channel was individually normalized to its maximum, and then the maximum value was taken for each voxel to create a single channel volumetric image. This was then loaded into Neurolucida360 wh...
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An annotator then assessed whether a detection fulfilled the previously mentioned criteria. In this way, the false-positive, false-negative and true-positive detections were determined and more appropriate metrics of precision, recall and f1 were calculated and are reported in section 3.1. 2.2. ...
This choice was made to get eventually an estimation of what orders of magnitude, in terms of concentration, would be feasible for detection in remote sensing applications and for each sample under consideration. Reflectances of dry ocean-harvested samples were only measured at nadir, all other ...
For hard cut transitions, the dissimilarity values between consecutive video frames are large, whereas, for gradual transitions, the small values increase the complexity of the gradual transition detection process. Numerous SBD methods have been proposed in the last two decades. Nevertheless, video ...
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The software used to calibrate the cameras and track the thrips was written in Python with OpenCV for fast image analysis. Detection procedures were specially optimized for thrips, including dynamic background subtraction, median filtering and a difference-of-gaussians filter optimized for the size of...
Domain randomization-enhanced deep learning models for bird detection Xin Mao Jun Kang Chow Yu-Hsing Wang Scientific Reports(2021) An adaptive design approach for defects distribution modeling in materials from first-principle calculations Maicon Pierre Lourenço ...
To evaluate the optimal number of clusters that can best describe both the empirical weight distributions as well as the simulated neuronal responses, Dirichlet process with Gaussian mixture modelling58and time-series K-Means analysis81were performed using the scikit-learn82and tslearn59Python machine ...