Microplate Well Density Detection Using Peripheral Luminance Reference
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Solution Overview
Problem
Existing methods for imaging microplates struggle to accurately calculate the density of specific areas within images of depressed parts due to the influence of the well wall surface, leading to inconsistent image density calculations.
Innovation Solution
A density detection method that involves irradiating light from above a microplate, imaging the depressed parts, specifying a detection target area with unique optical properties, determining a peripheral area, and calculating the density value based on both the target and peripheral area luminance information to cancel out the well wall surface's influence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light is irradiated from above the microplate to image the depressed parts, then the original image including the depressed parts can be obtained, but the wall surface of the depressed part causes variation in background density leading to inaccurate density calculation
Solution Approach 1:
The patent changes the parameter used for density calculation from absolute luminance to relative luminance difference between target area and peripheral area. By calculating density based on the difference between the luminance of the detection target area and the luminance of the peripheral area, the method eliminates the influence of wall surface variations while preserving the ability to detect actual density variations in the sample.
2Reliability
If the detection target area is specified from the original image, then the area with unique optical properties can be identified, but the background density variation due to wall surface influence causes inconsistent density calculations
Solution Approach 1:
The patent introduces the peripheral area as an intermediary reference that mediates between the detection target area and the wall surface influence. By using the peripheral area's luminance as a reference point and calculating the density based on the difference between target and peripheral areas, the method effectively cancels out the common wall surface influence affecting both regions, achieving consistent and reliable density calculations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for accurate density value calculation of the target area by accounting for the well wall surface's influence, reducing errors and ensuring consistent results across images.
Implementation Method 1
irradiating light from above a specimen holding plate including a plurality of light transmissive depressed parts and receiving the light transmitted to a lower side of the specimen holding plate
Data Source
AI summary
Light is allowed to be incident from above wells provided on a microplate M and the light transmitted to the lower surface is received to obtain an original image of the wells (Step S101). Detection target areas in the original image are specified by an appropriate image processing (Step S102), and peripheral areas as backgrounds surrounding the respective detection target areas are specified (Step S103). By calculating a density value of the detection target area Ri using luminance information of the detection target area Ri and that of the peripheral area Si surrounding this detection target area Ri for each detection target area Ri (Steps S105, S106), the influence of a well wall surface reflected on the background is eliminated.