Automated Cell Scratching and Image Analysis System

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Solution Overview

Problem

Traditional cell scratching experiments face challenges in achieving uniform and reproducible scratches due to uneven force application, and manual image analysis is time-consuming and prone to subjective errors, making it difficult to accurately determine cell migration capacity.

Innovation Solution

A method and system combining a cell scratching device with a cell image analysis device to perform controlled scratching operations and automated image capture and analysis, ensuring homogeneous scratch formation and precise migration capacity determination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual scratching operation is performed, then flexibility and simplicity are improved, but scratch uniformity and reproducibility deteriorate due to uneven force application

Engineering Contradiction:
ImprovesimplicityVSAvoidscratch uniformity
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The patent replaces manual mechanical scratching with an automated mechanical scratching device that applies uniform force through a standardized scratching tip. The device uses mechanical guidance to ensure consistent scratching depth and angle across multiple scratches, eliminating the variability introduced by manual operation while maintaining operational simplicity through automated control.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If manual image analysis is performed, then device complexity is reduced, but measurement precision and objectivity deteriorate due to subjective errors and time consumption

Engineering Contradiction:
ImprovesimplicityVSAvoidmigration capacity determination accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent replaces manual visual image analysis with automated image processing software that objectively measures scratch width, cell migration distance, and closure percentage. The system uses computer vision algorithms to analyze captured images, eliminating subjective human interpretation errors and providing precise, quantifiable measurements of cell migration capacity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service automated analysis where the image processing software independently performs measurement and calculation of migration capacity without requiring manual intervention. The software automatically processes captured images, calculates migration parameters, and generates results, reducing both time consumption and human error while maintaining measurement precision.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20240124828A1Method and system for determining migration capacity of cells
Publication Date: 2024.04.18 SHANGHAI RUIYU BIOTECH
  • US20240124828A1 patent drawing
  • US20240124828A1 patent drawing
  • US20240124828A1 patent drawing

AI summary

The present disclosure relates to a method and a system for determining a cell migration capacity. The method includes performing a scratching operation on cells by a cell scratching device to form at least one scratch and photographing and analyzing the at least one scratch by a cell image analysis device to determine a migration capacity of the cells.