Hierarchical Stem Cell Density Calculation Using Multi-Ratio Image Reduction
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Solution Overview
Problem
Existing methods for calculating the density of stem cells in images are inefficient, requiring significant processing and difficulty in detecting both high and low-density stem cells.
Innovation Solution
A method using electronic devices with pre-trained density calculation models and hierarchical image reduction techniques, where images are resized based on preset ratios to apply corresponding models for efficient density estimation, allowing for quick detection of stem cell densities across various ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If known methods are used to calculate the number and volume of stem cells in an image, then the density can be calculated, but the processing efficiency is low
Solution Approach 1:
The patent segments the image processing task into multiple density ranges, creating different processing models for high-density and low-density stem cell images. This segmentation allows each model to be optimized for its specific range, improving overall processing efficiency while maintaining accuracy for different cell densities
Solution Approach 2:
The patent changes the processing parameters (image resolution, processing intensity) based on the density range of stem cells. For high-density images, one set of parameters is used, while for low-density images, different parameters are applied. This dynamic parameter adjustment significantly improves calculation efficiency without sacrificing measurement precision
2Productivity
If standard processing methods are applied to all images, then consistency is maintained, but efficiency decreases due to unnecessary processing of high-density images
Solution Approach 1:
The patent applies local quality by using different processing strategies for different regions of the density space. High-density images receive one type of processing optimization, while low-density images receive another type. This ensures that each image is processed with the most appropriate method for its characteristics, maintaining precision while improving speed
Data Source
AI summary
A method for calculating a density of stem cells in a cell image and an electronic device are provided. A plurality of preset ratios and a plurality of density calculation models can be used to perform hierarchical density calculations on the cell image. Starting from the largest preset ratio (the first preset ratio) reduction of the cell image to no reduction, the density calculation is performed on the cell image using a model starting with a highest density calculation (the first density calculation model) to a model with the smallest density calculation (the third density calculation model), which can quickly detect densities of various stem cells. Using different preset ratios and corresponding density calculation models for calculation, it is not necessary to calculate the number of stem cells to obtain the density of stem cells, which improves a calculation efficiency of the density of stem cells.