Multi-mode Microscopic Hyperspectral Imager for the Sensing of Biological Samples

Abstract

In this work, we develop a multi-mode microscopic hyperspectral imager (MMHI) for the detection of biological samples in transmission imaging, reflection imaging and fluorescence mode. A hyperspectral image cube can be obtained with 5 μm spatial resolution and 3 nm spectral resolution through push-broom line scanning. To avoid possible shadows produced by the high magnification objective with a short working distance, two illumination patterns are designed to ensure the co-axiality of the illumination and detection. Three experiments for the detection of zebrafish and fingerprints and the classification of disaster-causing microalgae verify the good capability and functionality of the system. Based on the detected spectra, we can observe the impacts of β-carotene and melanin in zebrafish, hemoglobin in the fingertip, and chlorophyll in microalgae, respectively. Multi-modes can be switched freely according to the application requirement and characteristics of different samples, like transmission mode for the transparent/translucent sample, reflection mode for the opaque sample and fluorescence mode for the fluorescent sample. The MMHI system also has strong potential for the non-invasive and high-speed sensing of bio or clinical samples.

Compact and ultracompact spectral imagers: technology and applications in biomedical imaging

“… 74 The greatest advantage of PGP, however, is the ability to disperse light with little space, allowing the development of miniaturized spectral imaging systems. Multiple compact spectral imagers used PGP as their dispersive element 121 , 137 , 139 – 141 [ Fig. 5(b) ].…”

Spatially encoded hyperspectral compressive microscope for ultrabroadband VIS/NIR hyperspectral imaging

“…For this purpose, hyperspectral imaging (HSI) has been developed, enabling the identification of local spectral changes in samples. [2], [4], [13], [14] The output of HSI is a three-dimensional datacube, in which two coordinates refer to the spatial dimensions (x and y) and the third to the spectral dimension (λ). We can therefore see a measured spectrum in every pixel of the image.…”

Evaluating Hyperspectral Techniques Using Objective Metrics Research on Analog Narrowband Image

“…However, hyperspectral imaging (HSI) combined with narrowband imaging (NBI) is a technique used to enhance the image for early EC detection [28,29]. HSI has many applications including air pollution detection [30,31], cancer detection [32][33][34], counterfeit detection [35][36][37], aerospace engineering [38][39][40][41], military [42,43], agriculture [44][45][46], remote sensing [47,48], quality detection [49,50], and microbiology [51,52].…”