5D hyperspectral imaging: fast and accurate measurement of surface shape and spectral characteristics using structured light

Heist, Stefan; Zhang, Chen; Reichwald, Karl; Kühmstedt, Peter; Notni, Gunther; Tünnermann, Andreas

doi:10.1364/oe.26.023366

Cited by 70 publications

(28 citation statements)

References 46 publications

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“…Area scanning systems can realize higher efficiency but the resolution is limited because of a relatively larger imaging area. Up‐to‐date reports show the trend of newly designed systems working in area‐scanning and single‐shot modes . When point scanning mode was proposed, the imaging points were not continuous in the plane.…”

Section: Discussionmentioning

confidence: 99%

Microscale Spectroscopic Mapping of 2D Optical Materials

Dong

Yetisen

Köhler

et al. 2019

Advanced Optical Materials

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be used for flexible touch screens and displays, printable electronics, and thinfilm photovoltaics, [4] while FETs made of graphene can be used for highly sensitive biosensors. [5] Another 2D material MoS 2 , a direct-bandgap semiconductor, has applications in ultrasensitive photodetectors, transistors, and gas-sensing devices. [6][7][8][9] Other 2D materials have also shown potential in photovoltaic devices, memory, and light-emitting diodes (LEDs). [10,11] Broad application potential of 2D materials in optoelectronic devices, photonic devices, and optical sensors is mainly based on their unique optical performances. [12] 2D materials can be fabricated based on their layered structure. In the molecular structures of these materials, the atoms are bonded hard in the same plane, but the bond effect between two lateral layers is weak due to van der Waals forces. [13] 2D materials can be roughly categorized as semimetal like graphene, semiconductor like transition metal dichalcogenides (TMDs), and insulator like hexagonal boron nitride (hBN) from the aspect of bandgap differences. [14] Due to the experimentally practical manipulation of monolayer and multilayer 2D materials, remarkable optical performances can be realized for a wide range of optical applications. For example, the number of layers of 2D materials can strongly influence the photoluminescence performance. [15] The unconventional optical performances including adsorption and emission, light sensitivity, as well as plasmonic effects of 2D materials are closely related to their inner physical properties such as carrier mobility, density of states, and band structure based on the interaction of atoms, structural symmetry, and stacking patterns. [16,17] Through the control of layer number which could influence the bandgap value, 2D materials could react to different spectrum ranging from ultraviolet to infrared light. [18] Doping strategies are also effective to modify intrinsic 2D semiconductors and improve the response with respect to an extended range of spectrum. [19,20] The assessment of the optical properties of 2D materials is indispensable for device and sensor development. [21] Based on detailed surface mapping and spectral information, the suitability of 2D materials for optical devices or sensor applications can be thoroughly studied. [22,23] Microscopy, direct 2D mapping of materials, can provide basic spatial information, [24] while spectroscopy can offer one more dimensional spectral information which is 2D materials have unique optical properties due to their ultrathin layered structures, and are emerging as promising materials for optoelectronic devices. To characterize and evaluate these properties, diffraction-limited spectroscopic mapping, also known as microscale spectroscopic imaging, has been developed to provide abundant spatial and spectral information. The usefulness of microscale spectroscopic mapping for unique property study of 2D optical materials is addressed. Advances in both mature and growing microscale spectroscopic mapping...

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Section: Discussionmentioning

confidence: 99%

Microscale Spectroscopic Mapping of 2D Optical Materials

Dong

Yetisen

Köhler

et al. 2019

Advanced Optical Materials

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“…The most convenient, classical way of obtaining such a spectrum is to modify a measuring device (microscope). It is mostly done using single scanning interferometers 2 , matrices of them 3 , matrices of color filter arrays 4 , or other adjustable media 5 , 6 . Such technical arrangements can be further successfully coupled with machine learning methods as well 7 .…”

Section: Introductionmentioning

confidence: 99%

Quasi-spectral characterization of intracellular regions in bright-field light microscopy images

Lonhus

Rychtáriková

Platonova

et al. 2020

Sci Rep

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Investigation of cell structure is hardly imaginable without bright-field microscopy. Numerous modifications such as depth-wise scanning or videoenhancement make this method being state-of-the-art. This raises a question what maximal information can be extracted from ordinary (but well acquired) bright-field images in a model-free way. Here we introduce a method of a physically correct extraction of features for each pixel when these features resemble a transparency spectrum. The method is compatible with existent ordinary bright-field microscopes and requires mathematically sophisticated data processing. Unsupervised clustering of the spectra yields reasonable semantic segmentation of unstained living cells without any a priori information about their structures. Despite the lack of reference data (to prove strictly that the proposed feature vectors coincide with transparency), we believe that this method is the right approach to an intracellular (semi)quantitative and qualitative chemical analysis.

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“…Currently, multispectral cameras, 17 especially miniaturized multispectral snapshot cameras, [18][19][20] offer possibilities for real-time spectral imaging. They can realize simultaneous image data acquisition at multiple spectral bands.…”

Section: Introductionmentioning

confidence: 99%

Single-frame three-dimensional imaging using spectral-coded patterns and multispectral snapshot cameras

et al. 2019

Self Cite

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Single-frame threedimensional imaging using spectral-coded patterns and multispectral snapshot cameras," Opt. Eng.Abstract. We present an approach for single-frame three-dimensional (3-D) imaging using multiwavelength array projection and a stereo vision setup of two multispectral snapshot cameras. Thus a sequence of aperiodic fringe patterns at different wavelengths can be projected and detected simultaneously. For the 3-D reconstruction, a computational procedure for pattern extraction from multispectral images, denoising of multispectral image data, and stereo matching is developed. In addition, a proof-of-concept is provided with experimental measurement results, showing the validity and potential of the proposed approach. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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5D hyperspectral imaging: fast and accurate measurement of surface shape and spectral characteristics using structured light

Cited by 70 publications

References 46 publications

Microscale Spectroscopic Mapping of 2D Optical Materials

Microscale Spectroscopic Mapping of 2D Optical Materials

Quasi-spectral characterization of intracellular regions in bright-field light microscopy images

Single-frame three-dimensional imaging using spectral-coded patterns and multispectral snapshot cameras

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