Optical recognition of constructs using hyperspectral imaging and detection (ORCHID)

Odion, Ren A.; Vo-Dinh, Tuan

doi:10.1038/s41598-022-25735-9

Optical recognition of constructs using hyperspectral imaging and detection (ORCHID)

Journal Article · Tue Dec 06 23:00:00 EST 2022 · Scientific Reports

DOI:https://doi.org/10.1038/s41598-022-25735-9· OSTI ID:1902194

Odion, Ren A.; Vo-Dinh, Tuan

Abstract

Challenges to deep sample imaging have necessitated the development of special techniques such as spatially offset optical spectroscopy to collect signals that have travelled through several layers of tissue. However, these techniques provide only spectral information in one dimension (i.e., depth). Here, we describe a general and practical method, referred to as Optical Recognition of Constructs Using Hyperspectral Imaging and Detection (ORCHID). The sensing strategy integrates (1) the spatial offset detection concept by computationally binning 2D optical data associated with digital offsets based on selected radial pixel distances from the excitation source; (2) hyperspectral imaging using tunable filter; and (3) digital image binding and collation. ORCHID is a versatile modality that is designed to collect optical signals deep inside samples across three spatial (X, Y, Z) as well as spectral dimensions. The ORCHID method is applicable to various optical techniques that exhibit narrow-band structures, from Raman scattering to quantum dot luminescence. Samples containing surface-enhanced Raman scattering (SERS)-active gold nanostar probes and quantum dots embedded in gel were used to show a proof of principle for the ORCHID concept. The resulting hyperspectral data cube is shown to spatially locate target emitting nanoparticle volumes and provide spectral information for in-depth 3D imaging.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0019393

OSTI ID:: 1902194

Alternate ID(s):: OSTI ID: 2421248

Journal Information:: Scientific Reports, Journal Name: Scientific Reports Journal Issue: 1 Vol. 12; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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