Hyperspectral Imaging of Moving Microscopic Samples with Slit-Line Tracking
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Solution Overview
Problem
Capturing hyperspectral data from moving microscopic samples on a slide is extremely difficult, especially for hyperspectral imaging.
Innovation Solution
Simultaneously acquire optical images and corresponding hyperspectral data with time stamps, compile a movie of frames including a slit line for hyperspectral data acquisition, and analyze the hyperspectral data to generate spectral information about moving elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hyperspectral imaging is performed on moving microscopic samples, then spectral information can be obtained, but the difficulty of capturing data increases significantly
Solution Approach 1:
The system performs preliminary actions by capturing a series of optical images at a higher frame rate before hyperspectral analysis, creating a temporal map of particle positions. This preliminary optical imaging establishes the timing and position information needed to correctly associate hyperspectral data with moving particles, resolving the difficulty of capturing spectral information from moving samples.
Solution Approach 2:
Optical images serve as an intermediary between the moving particles and the hyperspectral measurement system. The optical images at high frame rate provide real-time position information that mediates the association between time stamps and particle locations, enabling accurate spectral characterization despite particle motion during the longer hyperspectral acquisition.
2Measurement precision
If hyperspectral data acquisition time is increased to improve spectral quality, then measurement precision improves, but particle motion during acquisition increases
Solution Approach 1:
The system captures optical images at a higher frame rate than the hyperspectral acquisition rate, performing preliminary positioning measurements. This allows the system to track particle motion during the longer hyperspectral exposure and correctly attribute spectral data to the appropriate particle positions in time, effectively compensating for motion-induced blurring or misregistration.
Solution Approach 2:
The system uses feedback from high-speed optical imaging to monitor and track particle positions throughout the hyperspectral acquisition process. This feedback information is used to adjust or correct the association between hyperspectral data and particle positions, maintaining measurement precision even as particles move during the extended acquisition time.
3Reliability
If simultaneous acquisition of optical images and hyperspectral data is performed, then data synchronization is achieved, but system complexity increases
Solution Approach 1:
Time stamps and sequence numbers serve as intermediary synchronization markers between the optical imaging system and hyperspectral imaging system. These temporal identifiers mediate the coordination between two independent acquisition systems, allowing precise matching of optical frames with corresponding hyperspectral data without requiring complex real-time hardware synchronization.
Solution Approach 2:
The optical imaging system performs multiple functions: it serves as both the primary imaging modality and as a synchronization reference for the hyperspectral system. By using the optical camera's high frame rate acquisition as a temporal reference, the system eliminates the need for separate synchronization hardware, reducing overall system complexity while maintaining reliable data alignment.
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
Enables effective hyperspectral imaging of moving microscopic samples by capturing and analyzing hyperspectral data from moving particles, allowing for spectral characterization and identification of nanoscale elements.
Implementation Method 1
hyperspectral imaging of moving microscopic sample elements
Implementation Method 2
acquiring a series of optical images and corresponding hyperspectral data
Data Source
AI summary
Various examples are provided related to hyperspectral imaging of moving microscopic sample elements. In one example, a method for hyperspectral imaging includes acquiring a series of optical images and corresponding hyperspectral data of a sample; compiling a movie comprising a series of frames each including one of the series of optical images and a slit line indicating a location of a slit for acquisition of the hyperspectral data; identifying a frame comprising an element of the sample located on the slit line; and analyzing the hyperspectral data corresponding to the optical image in the identified frame. Each optical image and its corresponding hyperspectral data are acquired simultaneously and identified by a time stamp or sequence number. The analysis can generate hyperspectral information about the element. In another example, a system for hyperspectral imaging includes a hyperspectral imaging device; an optical imaging device; and a computing device.