This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

This research presents the Adaptive Spectral Correlation Convolutional Neural Network (ASCCNN), an advanced framework tailored for precise emotion recognition using EEG (Electroencephalography) data.

Generates a synthetic consumer spending dataset in CSV and Parquet formats with sampling methods (First-K, Random, Stratified). Ideal for ML data preparation workflows in Amazon SageMaker. Modular ...

Visualization is the representation of information in the form of various charts or images. Data visualization is used to identify useful patterns, to understand trends, and to find out outliers in ...

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