Typical (hyper)spectral imaging approaches. (A) Point scan. (B) Line scan (i.e. "pushbroom"). (C) Wavelength scan. (D) Snapshot. 

Typical (hyper)spectral imaging approaches. (A) Point scan. (B) Line scan (i.e. "pushbroom"). (C) Wavelength scan. (D) Snapshot. 

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In recent decades, various classes of nanoparticles have been developed for optical imaging of cancers. Many of these nanoparticles are designed to specifically target tumor sites, and specific cancer biomarkers, to facilitate the visualization of tumors. However, one challenge for accurate detection of tumors is that the molecular profiles of most...

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... two major spectral imaging categories are scanning-based imaging and wide-field imaging ( Figure 3). The former is usually implemented by scanning a collimated or focused laser beam (in the form of a spot or a line) across the specimen ( Figure 4A and 4B). For example, raster scanning may be achieved by steering the laser beam with a galvanometric scanning mirror (high speed) or translating the specimen with a mechanical stage (low speed) [86]. ...
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... we define "wide-field imaging" as a method that illuminates a region and detects the emitted light from an array of points (pixels) within the area using a camera (a 2D detector array). Compared with scanning-based imaging methods, wide-field imaging eliminates the need for mechanical scanning and can image a large area with one acquisition ( Figure 4C and 4D), which is typically simpler and faster. Wide-field imaging methods are often utilized to achieve high spatial resolution, including super-resolution with structured illumination [93]. ...
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... and newly developed scientific CMOS (sCMOS) sensor arrays are the most widely used detector arrays for wide-field imaging, allowing for the acquisition of millions of spatial pixels with one exposure in time. Rapid hyperspectral wide-field imaging can be achieved by either acquiring two-dimensional (2D) images at multiple wavelength channels over time ( Figure 4C) [65] or taking a snapshot to acquire both spatial and spectral information (sometimes referred to "snapshot hyperspectral imaging") ( Figure 4D) [99][100][101]. The former approach can achieve a high spectral resolution (channel bandwidth) of 1-5 nm by using monochromators, filter wheels, or electronic tunable filters such as liquid crystal tunable filters (LCTFs) and acousto-optic tunable filters (AOTFs) [100]. ...
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... and newly developed scientific CMOS (sCMOS) sensor arrays are the most widely used detector arrays for wide-field imaging, allowing for the acquisition of millions of spatial pixels with one exposure in time. Rapid hyperspectral wide-field imaging can be achieved by either acquiring two-dimensional (2D) images at multiple wavelength channels over time ( Figure 4C) [65] or taking a snapshot to acquire both spatial and spectral information (sometimes referred to "snapshot hyperspectral imaging") ( Figure 4D) [99][100][101]. The former approach can achieve a high spectral resolution (channel bandwidth) of 1-5 nm by using monochromators, filter wheels, or electronic tunable filters such as liquid crystal tunable filters (LCTFs) and acousto-optic tunable filters (AOTFs) [100]. ...
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... main disadvantage of filter-based spectral imaging is low light throughput and prolonged imaging times due to the fact that only one filter channel is collected at a time and the rest of the photons are discarded. In comparison, the latter "snapshot" approach typically utilizes a combination of image-division elements and dispersive elements (typically a prism or diffractive optical element) to image a 2D field onto sub-regions of a detector array such that all spatial pixels and spectral channels are imaged simultaneously ( Figure 4D shows the image mapping spectrometry approach [104,105]; detailed discussion of all snapshot imaging approaches can be found in [101,106]). Snapshot hyperspectral imaging can enable enhanced light throughput and imaging speed, but may require a tradeoff between spatial and spectral resolution since a limited number of camera pixels must be used to collect signals from both different spectral channels as well as different spatial positions [100,107,108]. ...

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... 20 These examples highlight the use of SERS for the detection of clinically relevant targets because SERS provides a number of key advantages, including ultra-sensitivity, high multiplexing capability, quantification based on spectral intensities, high photostabil-ity, and the requirement for only a single laser source for excitation. [21][22][23][24] Therefore, one of the main strengths of SERS is its ability to detect several analytes in a single sample with complex mixture. Recently, multiplexed real-time PCR-based SERS detection was reported for the simultaneous detection of two biomarker genes from Staphylococcus aureus using a thermoplastic chip and labelled probes, 25 and compared with this strategy, our proposed PCR/SERS assay offers several advantages, including (i) using small molecules rather than fluorophores as Raman reporters for strong and well-defined Raman peaks, enabling improved multiplexing capabilities, (ii) a simpler scheme using a magnetic-bead/PCR products/SERS nanotags sandwich structure for the SERS signal readout, and (iii) a much shorter assay time (80 min). ...
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... Different Types of Scanners[17]. ...
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