Fluorescence Image Data Rearrangement for Faster Wavelength Processing
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Solution Overview
Problem
The captured image data generated by a line spectrometer is difficult to process efficiently and quickly for subsequent image processing due to its arrangement order, which hinders effective utilization in fluorescence observation systems.
Innovation Solution
A data generation method that involves imaging a plurality of fluorescence images for each fluorescence wavelength and rearranging the data arrangement order from a line-based order to a wavelength-based order, facilitating easier and faster processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If captured image data is stored in arrangement order of lines, then the data can be acquired sequentially by the line spectrometer, but the data becomes difficult to process efficiently for subsequent image processing
Solution Approach 1:
The patent applies preliminary action by performing data rearrangement immediately after data acquisition, before subsequent image processing steps. The captured image data is reorganized from line arrangement order to wavelength arrangement order in advance, so that when image processing is performed later, the data is already in the optimal format for efficient processing. This eliminates the need for repeated data reorganization and speeds up the overall workflow.
2Productivity
If data is rearranged from line arrangement order to wavelength arrangement order, then processing becomes easier and faster, but additional processing steps are required
Solution Approach 1:
The patent replaces complex mechanical data reorganization operations with a systematic computational approach. Instead of physically reordering data through multiple manual or mechanical steps, the invention uses a defined data transformation method that converts data from line arrangement order to wavelength arrangement order through systematic indexing and repositioning operations, which are more efficient and less error-prone.
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 approach allows for more efficient and rapid image processing, enabling quicker and more straightforward handling of the captured data for further analysis and interpretation.
Implementation Method 1
disperses, with the spectrometer, fluorescence excited by the line illumination
Implementation Method 2
fluorescence excited by the line illumination
Data Source
AI summary
A data generation method according to an embodiment includes: an imaging step (S10) of capturing, for each of lines for scanning an imaging target, a plurality of fluorescence images generated by the imaging target for a respective plurality of fluorescence wavelengths and acquiring data of the captured plurality of fluorescence images in arrangement order of the lines and a rearrangement step (S12) of changing the arrangement order of the data of the plurality of fluorescence images acquired in the imaging step from the arrangement order of the lines to arrangement order of for each of the plurality of fluorescence wavelengths.