Cell Tracking Device Using Dual Exposure Interpolation
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Solution Overview
Problem
Current methods for tracking cell positions in biological samples through time-lapse imaging are cumbersome and lack accuracy, particularly in visual measurements of light emission from cells, which are challenging due to the need for long-time exposure and potential motion blur in bioluminescence imaging.
Innovation Solution
A cell tracking device and method that utilize both short-time and long-time exposure image acquisition units, along with interpolation, to accurately track cell positions by combining phase contrast and bioluminescence imaging, allowing for precise measurement of cell displacement and position variation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If long-time exposure imaging is used to capture bioluminescence images, then the amount of light emitted from cells can be measured, but motion blur occurs and tracking accuracy deteriorates
Solution Approach 1:
The imaging process is segmented into two distinct modes: short-time exposure imaging for high-precision position tracking and long-time exposure imaging for light emission measurement. By separating these functions into different imaging modes and processing them through different tracking units, the system achieves both accurate tracking and reliable light measurement without the motion blur problem affecting the tracking accuracy.
2Measurement precision
If visual measurement is used to confirm cell position, then cell position can be observed, but the operation becomes complicated and time-consuming
Solution Approach 1:
The manual visual measurement process is replaced with an automated image recognition and tracking system. The first tracking unit automatically detects cell positions from short-time exposure images using image recognition algorithms, eliminating the need for complicated manual visual measurement while maintaining high precision in cell position observation.
3Measurement precision
If short-time exposure imaging is used for tracking, then tracking accuracy is improved, but the amount of light captured from bioluminescence is insufficient
Solution Approach 1:
The system merges the advantages of both short-time and long-time exposure imaging by combining their tracking results through interpolation. The short-time exposure images provide accurate position tracking, while the long-time exposure images provide sufficient light capture for bioluminescence measurement. The interpolation process integrates these complementary data sources to achieve both high tracking accuracy and reliable light emission measurement.
4Loss of time
If time-lapse imaging is performed to capture dynamic functional expression, then chronological observation is enabled, but the measurement process becomes complex and automated tracking is needed
Solution Approach 1:
The system implements self-service automated tracking where the tracking units automatically detect and track cell positions across the time-lapse image sequence without manual intervention. The interpolation unit automatically processes and integrates the tracking results from both short-time and long-time exposure images, enabling chronological observation of dynamic functional expression while eliminating the complexity of manual measurement processes.
Data Source
AI summary
A cell tracking device includes first and second image acquisition units, first and second tracking units and an interpolation unit. The first image acquisition unit picks up images of a cell under a short-time exposure condition at points in time to capture short-time exposure images. The second image acquisition unit picks up images of the cell under a long-time exposure condition to capture long-time exposure images, each image of the cell under the long-time exposure condition being picked up within each interval between the points in time. The first tracking unit tracks the cell based upon the short-time exposure images. The second tracking unit tracks the cell based upon the long-time exposure images. The interpolation unit interpolates a tracking result obtained by the second tracking unit with a tracking result obtained by the first tracking unit.


