Snapshot Image Mapping Spectrometer (IMS) with high sampling density for hyperspectral microscopy

Gao, Liang; Kester, Robert T.; Hagen, Nathan; Tkaczyk, Tomasz S.

doi:10.1364/oe.18.014330

Cited by 213 publications

(123 citation statements)

References 22 publications

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“…Briefly, it achieves diffraction-limited spatial and spectral resolution in the acquired field of view and spectral range. This device's optical throughput is measured to be ,65% (from the image input plane to the camera), which is significantly improved compared to the ,20% measured in the previous IMS system (Gao et al, 2010). We have compared quantitatively the detection efficiency of this new IMS system to that of the Zeiss LSM710 confocal microscope.…”

Section: Introductionmentioning

confidence: 91%

“…To overcome this problem, a snapshot hyperspectral imager, the Image Mapping Spectrometer (IMS), was developed for microscopy (Gao et al, 2009;Gao et al, 2010) and endoscopy (Kester et al, 2011). The IMS is a direct imaging device that can map an object's 3D datacube onto different locations of a 2D detector array and thus allow their measurement in parallel.…”

Section: Introductionmentioning

confidence: 99%

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Real-time hyperspectral fluorescence imaging of pancreatic β-cell dynamics with the image mapping spectrometer (IMS)

Elliott

Gao

Ustione

et al. 2012

Journal of Cell Science

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SummaryThe development of multi-colored fluorescent proteins, nanocrystals and organic fluorophores, along with the resulting engineered biosensors, has revolutionized the study of protein localization and dynamics in living cells. Hyperspectral imaging has proven to be a useful approach for such studies, but this technique is often limited by low signal and insufficient temporal resolution. Here, we present an implementation of a snapshot hyperspectral imaging device, the image mapping spectrometer (IMS), which acquires full spectral information simultaneously from each pixel in the field without scanning. The IMS is capable of real-time signal capture from multiple fluorophores with high collection efficiency (,65%) and image acquisition rate (up to 7.2 fps).

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Section: Introductionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Real-time hyperspectral fluorescence imaging of pancreatic β-cell dynamics with the image mapping spectrometer (IMS)

Elliott

Gao

Ustione

et al. 2012

Journal of Cell Science

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“…Adapting IMS to the unique requirements of OCT, however, requires redesign of previous IMS modalities. This new concept for snapshot OCT requires the IMS system to perform high spectral sampling within a narrow bandwidth (over 100 spectral bins within a bandwidth of 50-150 nm in the red/near-infrared region), in contrast to our earlier IMS systems which achieved lower spectral sampling (60 spectral bins across the entire visible range) [24].…”

Section: Principlesmentioning

confidence: 97%

“…Essentially, the image mapper can be considered as an original way to downscale many slit spectrometers into one compact system, recorded by a large-format detector. Thus, no complicated scanning mechanism or computations are required [24]. Adapting IMS to the unique requirements of OCT, however, requires redesign of previous IMS modalities.…”

Section: Principlesmentioning

confidence: 99%

“…Among the prominent techniques are Computed Tomography Imaging Spectrometer (CTIS) [17,18], Coded Aperture Snapshot Spectral Imager (CASSI) [19,20], Image-Replicating Imaging Spectrometer (IRIS) [21], HyperPixel Array T M Imager (Bodkin Design & Engineering, LLC) [22], HyperVideo (Opto-Knowledge Systems, Inc.) [23] and the IMS which will be discussed in Section 2. CTIS and CASSI require extensive computations which slow down the acquisition and data reconstruction, and generate computational artifacts, while IRIS has low light throughput and is limited by its prism [24]. Meanwhile, the HyperPixel Array, HyperVideo and IMS produce direct spatial and spectral imaging by separating an image into spatially different zones without any data reconstruction.…”

Section: Introductionmentioning

confidence: 99%

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Snapshot 3D optical coherence tomography system using image mapping spectrometry

et al. 2013

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Abstract:A snapshot 3-Dimensional Optical Coherence Tomography system was developed using Image Mapping Spectrometry. This system can give depth information (Z) at different spatial positions (XY) within one camera integration time to potentially reduce motion artifact and enhance throughput. The current (x,y,λ ) datacube of (85×356×117) provides a 3D visualization of sample with 400 μm depth and 13.4 μm in transverse resolution. Axial resolution of 16.0 μm can also be achieved in this proof-of-concept system. We present an analysis of the theoretical constraints which will guide development of future systems with increased imaging depth and improved axial and lateral resolutions.

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Bio‐Inspired Compact, High‐Resolution Snapshot Hyperspectral Imaging System with 3D Printed Glass Lightguide Array

Hong

Sun

et al. 2023

Advanced Optical Materials

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configuration of a typical snapshot hyperspectral imaging system. The imaging optics images the object to the input end of the field sampler which redistributes the image points to different locations in the output end. The collimation optics then collimates the light from the re-sampled image points. After passing through the dispersion element, the dispersed collimated light is focused onto the digital sensor. The hyperspectral images can then be reconstructed from the dispersed image. Pinhole array, faceted mirror, fiber bundle, and lenslet array have been used to sample the field, each of them has its unique properties and limitations. [5][6][7][8][9][10] Pinhole array method is simple and low cost to implement, but light efficiency and spatial resolution are two major limitations, preventing its adoption in practical applications. Lenslet array approach partially addresses the light efficiency issue, but the spatial resolution is still the bottleneck. Faceted mirror method is relatively difficult to implement as it is difficult to fabricate, and the edges of the faceted mirrors can cause some artifacts. Fiber bundle approach is very straightforward, with one end of the fiber array arranged as compact as possible to sample the intermediate image and the other end of the fiber array specially arranged so that the spectral information can be distinguished in the detection sensor with a dispersion element, such as prism or grating. The resolution is determined by the pitch of the fiber bundle in the input end. Due to the cladding layer, the spatial resolution is still sacrificed, and the light efficiency is not high either.3D printing is an emerging fabrication method for precision optics, it is attractive due to its flexibility in building complex shapes through an additive process. [11][12][13][14][15][16][17][18][19][20][21][22] Most of the research in printing optics to date has focused on organic polymer or resin-based systems using stereolithography (STL), [13] direct ink writing (DIW), [14] projection microstereolithography (PµSL), [15,16] and two-photon polymerization (TPP) processes. [19][20][21][22] Optical element printed with organic polymer or resin through UV curing process has a number of limitations in hardness, transparency in UV and NIR, thermal resistance, chemical resistance and tenability. Another issue is that the printed part becomes yellowish gradually, the transmission in short wavelength is further degraded. Compared to optics made from optical polymers and optical silicones, inorganic glass optics is preferred for many applications because of its excellent optical, chemical, and thermal properties.To address the major challenges to obtain high spatial resolution in snapshot hyperspectral imaging, 3D printed glass lightguide array is developed to sample the intermediate image in high spatial resolution and redistribute the pixels in the output end to achieve high spectral resolution. Curved 3D printed lightguide array can significantly simplify the snapshot hyperspectral imaging system,...

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Snapshot Image Mapping Spectrometer (IMS) with high sampling density for hyperspectral microscopy

Cited by 213 publications

References 22 publications

Real-time hyperspectral fluorescence imaging of pancreatic β-cell dynamics with the image mapping spectrometer (IMS)

Real-time hyperspectral fluorescence imaging of pancreatic β-cell dynamics with the image mapping spectrometer (IMS)

Snapshot 3D optical coherence tomography system using image mapping spectrometry

Bio‐Inspired Compact, High‐Resolution Snapshot Hyperspectral Imaging System with 3D Printed Glass Lightguide Array

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