diff --git a/all_docs/index.html b/all_docs/index.html index a0744ae..6def496 100644 --- a/all_docs/index.html +++ b/all_docs/index.html @@ -2773,7 +2773,7 @@

Spatial filtering can have a large impact on the resulting cell activity traces extracted from the movies and can lead to erroneous conclusions if not properly applied during pre-processing.

For example, below are the correlations between all cell-extraction outputs from PCA-ICA, ROI back-application of ICA filters, and CNMF-e on a miniature microscope one-photon movie. As can be seen, especially in the case of ROI analysis, the correlation between the activity traces is rendered artificially high due to the correlated background noise. This is greatly reduced in many instances after proper spatial filtering.

image

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(Chebychev clustering, n = 5 clusters)

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Filtering movies with normalizeMovie

Users can quickly filter movies using the normalizeMovie function. See below for usage.

diff --git a/help_spatial_filtering/index.html b/help_spatial_filtering/index.html index c56f6c9..f9812f4 100644 --- a/help_spatial_filtering/index.html +++ b/help_spatial_filtering/index.html @@ -247,7 +247,8 @@

Why conduct spatial filtering?

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(Chebychev clustering, n = 5 clusters)

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Filtering movies with normalizeMovie

diff --git a/index.html b/index.html index 63362f6..0f1429d 100644 --- a/index.html +++ b/index.html @@ -404,5 +404,5 @@

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