The invention discloses a multimodal-based
cell experiment
image processing method and
system and a storage medium, and the method comprises the steps: obtaining a single-channel gray image or a multi-channel
fluorescence image containing
cytoplasm and
cell nucleus characteristics, carrying out the
Gaussian filtering of a
cytoplasm channel, and carrying out the median filtering of a
cell nucleus channel; performing threshold segmentation on the preprocessed
cytoplasm channel image by using a maximum between-class
variance method to generate an initial cytoplasm
mask; performing adaptive threshold segmentation on the preprocessed
cell nucleus channel image to generate an
initial cell nucleus mask; performing logic OR operation on the initial cytoplasm
mask and the
initial cell nucleus mask to generate an
initial cell region; and finally, calculating each morphological parameter of each
cell region and removing the cell regions of which the morphological parameters exceed a preset range to generate a segmentation result of the complete
cell region, the morphological parameters and
spatial distribution information. The problems that in the prior art, cytoplasm and
cell nucleus noise processing segmentation precision is low, overlapped nucleus regions are difficult to separate, and morphological
parameter analysis reliability is poor are solved.