Abstract: A system and a method for determining characteristic cells based on image recognition. In the method, a scanning device capturing a full image of the microslide; a host selecting images that comprise stained blocks from the full image; the host sequentially performing image recognition to recognize stained cells of the images, and determining whether the stained cells comprise the characteristic cells with an AI model; and selecting interested images from the images that comprise the characteristic cells, transforming the coordinate system of the interested images into the original coordinate system of the full image, and employing the scanning device to capture the interested images along the Z axis of the original coordinate system of the full image, thereby obtaining and outputting sets of pictures. The present invention can quickly determine whether there are characteristic cells in the tissue under test, so as to provide a diagnostic reference for doctors.

Abstract: A gas sensing device includes a substrate, a conductive unit, and a sensing layer. The conductive unit is disposed on the substrate, and includes two electrodes. The sensing layer is disposed on the conductive unit, and is electrically connected with the electrodes. The sensing layer adapted to absorb carbon dioxide includes polyethyleneimine and polyethylene glycol. A detecting system including a testing device, an analyzing device and the aforementioned gas sensing device is also disclosed. The gas sensing device is detachably mounted to and is electrically connected to the testing device. Electrical property of the gas sensing device 100 changes when the gas sensing device 100 absorbs carbon dioxide.