Image Mapping Spectrometry
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The Image Mapping Spectrometer (IMS) represents a major advance in hyperspectral imaging, enabling real-time, full-spectrum snapshots without the need for traditional scanning. By replacing the camera in standard imaging systems, IMS opens up high-speed spectral acquisition for diverse applications, including microscopy, endoscopy, ophthalmoscopy, and macroscopy, making it ideal for capturing dynamic events with precision and speed.
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IMS was developed to meet the high temporal resolution demands in biomedical imaging. Unlike conventional spectral devices that scan either spatially or spectrally (resulting in light loss), IMS captures all spectral and spatial data elements in a single shot, ensuring full light throughput and fast data collection. This capability makes IMS particularly valuable for studying fast biological processes.
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The technology works through a specialized image mapper—a custom mirror with multiple angled facets. Each facet redirects portions of an image to different regions on a detector array, with a prism or diffraction grating dispersing light across spectral channels. This design allows IMS to capture a hyperspectral datacube (capturing spatial and wavelength data) in one frame, simplifying data retrieval without the need for complex reconstruction algorithms.
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By simultaneously mapping each voxel in the datacube to a pixel on the camera, IMS provides immediate spatial and spectral information, offering researchers an efficient, high-speed tool for imaging complex, time-sensitive phenomena across disciplines.
Fig. 1. IMS system and hyperspectral imaging of cells labeled with multiple fluorophores
References:
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Gao L., Kester R. T., Hagen N., & Tkaczyk T. S. (2010). Snapshot Image Mapping Spectrometer (IMS) with high sampling density for hyperspectral microscopy. Optics Express, 18, 14330.
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Park J., Feng X., Liang R., & Gao L. (2020). Snapshot multidimensional photography through active optical mapping. Nature Communications, 11, 5602.
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Lee J., Du X., Park J., Cui Q., Iyer R. R., Boppart S. A., & Gao L. (2023). Tunable image-mapping optical coherence tomography. Biomedical Optics Express, 14, 627-638.
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