2results about How to "Suitable for high-throughput screening" patented technology

The invention discloses a colorectal early cancer infiltration depth prediction model construction method based on mixed cutting enhancement, and the method comprises the steps: carrying out the preprocessing of a historical white light endoscopic image, increasing the sample size on the premise of highlighting a focus region, obtaining a preprocessed sample set, obtaining a focus region ROI in the preprocessed sample set through a doctor and / or employing a feature recognition algorithm, and carrying out the prediction of the colorectal early cancer infiltration depth. The method comprises the following steps: marking category labels of shallow infiltration and deep infiltration on a focus region ROI, enhancing and improving data diversity and model generalization by utilizing CutMix to obtain enhanced data with labels, taking a historical white light endoscopic image, the enhanced data with labels and category labels as training data, and performing enhanced training on a basic model by virtue of a mixed cutting enhancement strategy, so as to obtain an enhanced white light endoscopic image, an enhanced white light endoscopic image, an enhanced white light endoscopic image, an enhanced white light endoscopic image, an enhanced white light endoscopic image, an enhanced white light endoscopic image and an enhanced white light endoscopic image; after a white light endoscope image is input into the colorectal early cancer infiltration depth prediction model obtained through training, the shallow infiltration / deep infiltration type is predicted, and objective judgment of colorectal early cancer infiltration depth under a conventional white light endoscope is achieved.

This invention discloses a reagent kit and method for the joint detection of glucose, cellobiose, and xylose in cellulose hydrolysate, belonging to the field of biomass conversion and analytical detection technology. The method includes the following steps: setting up three types of detection channels: a glucose oxidase detection channel that specifically responds to the glucose component; a β-glucosidase-glucose oxidase combined detection channel that responds to the total signal of glucose and cellobiose; and a pyranose oxidase detection channel that simultaneously responds to the combined signals of glucose, cellobiose, and xylose. Enzymatic colorimetric reactions are performed on the cellulose hydrolysate sample and the multi-component gradient standard solution in the three types of detection channels, respectively. A ternary linear calibration model is constructed based on the absorbance data of the three types of channels of the multi-component gradient standard solution. This method provides a rapid, low-cost, and highly specific detection method for glucose, cellobiose, and xylose in cellulose biomass hydrolysate, and has practical application value.