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You could sift through websites, but some Python code and a little linear regression could make the job easier. ...
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 ...
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 ...
Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
What did you do? Trying to obtain the histogram of a image of mode "LA". What did you expect to happen? Get the correct histogram. What actually happened? Got the wrong histogram. It seems that the ...
When a dataset from a non-negative random variable contains zero or very small observations, the folded-normal distribution (FND) can be an appropriate model for fitting the data. Such data includes ...
Live Pixel Value Histogram: Visualizes the distribution of pixel values in the image. Dynamic Window Rectangle on Histogram: A red rectangle on the histogram graphically represents the currently ...