neuralib.imaging.widefield.fft

class neuralib.imaging.widefield.fft.SequenceFFT[source]
__init__(seq, component=1)[source]
Parameters:

  • seq (ndarray) – Image Sequence. Array[float, [F, H, W]]

  • component (int) – Which Fourier component (frequency) to use, defaults to 1 (primary oscillatory component)

property component: int
property n_frames: int
property height: int
property width: int
get_freq_map()[source]

Takes in trial-averaged sequence and calculates the Fourier Transform, basically transforming each pixel’s intensity over time (across frames)

Returns:

Array[float, [H, W]]

Return type:

ndarray

get_intensity()[source]

Computes the magnitude of the frequency component. i.e., Strength of the responsiveness (frame-wise averaged)

Return type:

ndarray

get_phase()[source]

Computes the phase of the selected frequency component. For example, the spatial locations of the visual field.

Returns:

Array[float, [H, W]]

Return type:

ndarray

as_colormap(*, saturation_factor=0.3, value_perc=98, saturation_perc=90, to_rgb=True)[source]

Generates an HSV colormap representation of the Fourier transform results.

  • Hue (H) represents the phase of the oscillation.

  • Saturation (S) represents the intensity raised to a power (saturation_factor).

  • Value (V) represents the normalized intensity of the frequency component.

The generated colormap provides a visualization of frequency components across spatial locations.

Parameters:

  • saturation_factor (float) – Exponent applied to the intensity for controlling saturation scaling

  • value_perc (float) – Percentile threshold to normalize intensity values

  • saturation_perc (float) – Percentile threshold to normalize saturation values

  • to_rgb (bool) – If True, converts the HSV colormap to RGB using OpenCV

Returns:

Return type:

ndarray