The invention provides an influenza
virus and
cell exosome recognition method, and belongs to the technical field of
microscopic imaging. The method comprises the following steps: modifying a fresh split
mica sheet with a NaCl solution, adhering the
mica sheet to a
glass slide, respectively dripping influenza
virus and
cell exosome samples on the
mica sheet, standing, and testing. The method comprises the following steps: selecting a nano-probe of a
specific model, placing the probe in a range of dripping a sample, after the probe is placed, selecting a certain range for scanning, observing the imaging characteristics of the two samples, and analyzing the morphology, height and
adhesive force of the two samples. The method comprises the following steps: scanning the surface of an influenza
virus and
cell exosome sample by using an atomic force
microscope, selectively analyzing the morphology, height and
adhesive force of the influenza virus and cell exosome in a measurement range, extracting related characteristic parameters, and then carrying out segmentation and morphological adjustment on an image to obtain the influenza virus and cell exosome sample. Analysis and recognition results of the two samples are obtained by using an
image analysis and
machine learning method of neural network aided prediction, and accurate and rapid intelligent distinguishing is realized.