Project Movie¶

This tool uses 2.0 compute credits per hour.

The Project Movie calculates a frame statistic from a microscope movie, such as the mean frame.

This may be applied to a preprocessed movie in order to generate a reference frame for the Motion Correct algorithm. Alternatively, the statistic frame may be useful as a summary of the movie data at a particular processing stage.

Inputs¶

Parameter	Required?	Default	Description
Input Movie Files	True	N/A	paths to the input movie files
Statistic Type	True	mean	type of statistic to compute (mean, minimum, maximum, standard deviation)

File Inputs¶

Source Parameter	File Type	File Format
Input Movie Files	miniscope_movie, miniscope_movie	isxd, isxc

Description¶

Each pixel in the statistic frame or image of a movie can be calculated individually. For example, let's consider calculating the pixel value at coordinates \((x, y)\) of the mean frame:

\[ M_\text{mean}(x, y) = \underset { t = t_\text{from} ... t_\text{to} } { \mathrm{mean} } \left[ M_t(x, y) \right] \]

where \(M_{t}\) is frame \(t\) of a movie \(M\), \(t_\text{from} = 0\), and \(t_\text{to} = T\) where \(T\) is the total number of frames in the movie. Any invalid frames, like dropped frames, are ignored in the calculation. This calculation is performed for each pixel in the frame to generate the final result. The minimum and maximum statistic image are calculated in the same way.