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.

Highlights

  • The appearance of microscopy opens the door for humans to explore the micro world, and spectral analysis provides the intrinsic absorption or fingerprint characteristics of specific substances [1]

  • The spectral information can be used in point-to-point spectral analysis for interested regions in the 2D hyperspectral spatial image

  • We present a multi-mode microscopic hyperspectral imager (MMHI) with 5 μm spatial resolution and 3 nm spectral resolution that works in the transmission mode, reflection mode and fluorescence mode

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Summary

Introduction

The combination of hyperspectral technology and optical microscopic imaging in bio-sensing has been widely used in tumor cell detection [2], food detection [3], zooplankton classification [4]. In these applications, the separation of a microscopic imaging module and a hyperspectral detection module may cause the detection errors and increase the cost of the system. Hyperspectral imaging (HSI) technology, with the advantage of acquiring two-dimensional image and corresponding spectrum of each pixel, has strong potential for, e.g., on-site monitoring, clinic diagnose and biomedicine [6,7,8]. A hyperspectral cube containing both spatial and spectral information can be obtained. The spectral information can be used in point-to-point spectral analysis for interested regions in the 2D hyperspectral spatial image

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