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Zheltikov AM. Thermal and Quantum Barrier Passage as Potential-Driven Markovian Dynamics. J Phys Chem B 2023; 127:9413-9422. [PMID: 37905974 PMCID: PMC10863070 DOI: 10.1021/acs.jpcb.3c02744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/08/2023] [Indexed: 11/02/2023]
Abstract
Rapidly progressing laser technologies provide powerful tools to study potential barrier-passage dynamics in physical, chemical, and biological systems with unprecedented temporal and spatial resolution and a remarkable chemical and structural specificity. The available theories of barrier passage, however, operate with equations, potentials, and parameters that are best suited for a specific area of research and a specific class of systems and processes. Making connections among these theories is often anything but easy. Here, we address this problem by presenting a unified framework for the description of a vast variety of classical and quantum barrier-passage phenomena, revealing an innate connection between various types of barrier-passage dynamics and providing closed-form equations showing how the signature exponentials in classical and quantum barrier-passage rates relate to and translate into each other. In this framework, the Arrhenius-law kinetics, the emergence of the Gibbs distribution, Hund's molecular wave-packet well-to-well oscillatory dynamics, Keldysh photoionization, and Kramers' escape over a potential barrier are all understood as manifestations of a potential-driven Markovian dynamics whereby a system evolves from a state of local stability. Key to the irreducibility of quantum tunneling to thermally activated barrier passage is the difference in the ways the diffusion-driving potentials emerge in these two tunneling settings, giving rise to stationary states with a distinctly different structure.
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Affiliation(s)
- A. M. Zheltikov
- Institute for Quantum Science and Engineering,
Department of Physics and Astronomy, Texas
A&M University, College Station, Texas 77843, United States
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Wang N, Wang X, Yan T, Xie H, Wang L, Ren F, Chen D, Zhang D, Zeng Q, Zhu S, Chen X. Label-free structural and functional volumetric imaging by dual-modality optical-Raman projection tomography. SCIENCE ADVANCES 2023; 9:eadf3504. [PMID: 36961894 PMCID: PMC10038343 DOI: 10.1126/sciadv.adf3504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Mesoscale volumetric imaging is of great importance for the study of bio-organisms. Among others, optical projection tomography provides unprecedented structural details of specimens, but it requires fluorescence label for chemical targeting. Raman spectroscopic imaging is able to identify chemical components in a label-free manner but lacks microstructure. Here, we present a dual-modality optical-Raman projection tomography (ORPT) technology, which enables label-free three-dimensional imaging of microstructures and components of millimeter-sized samples with a micron-level spatial resolution on the same device. We validate the feasibility of our ORPT system using images of polystyrene beads in a volume, followed by detecting biomolecules of zebrafish and Arabidopsis, demonstrating that fused three-dimensional images of the microstructure and molecular components of bio-samples could be achieved. Last, we observe the fat body of Drosophila melanogaster at different developmental stages. Our proposed technology enables bimodal label-free volumetric imaging of the structure and function of biomolecules in a large sample.
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Affiliation(s)
- Nan Wang
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Xinyu Wang
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Tianyu Yan
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Hui Xie
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Lin Wang
- School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China
| | - Feng Ren
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Dan Chen
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Dongjie Zhang
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Qi Zeng
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Shouping Zhu
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
| | - Xueli Chen
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 51055, China
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Murakami Y, Masaki M, Miyazaki S, Oketani R, Hayashi Y, Yanagisawa M, Honjoh S, Kano H. Spectroscopic second and third harmonic generation microscopy using a femtosecond laser source in the third near-infrared (NIR-III) optical window. BIOMEDICAL OPTICS EXPRESS 2022; 13:694-708. [PMID: 35284173 PMCID: PMC8884214 DOI: 10.1364/boe.446273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/24/2021] [Accepted: 12/28/2021] [Indexed: 06/14/2023]
Abstract
In this study, second harmonic generation (SHG) and third harmonic generation (THG) spectroscopic imaging were performed on biological samples using a femtosecond laser source in the third near-infrared (NIR) optical window (NIR-III). Using a visible-NIR spectrometer, the SHG and THG signals were simultaneously detected and were extracted using spectral analysis. Visualization of biological samples such as cultured cells (HEK293 T), mouse brain slices, and the nematode Caenorhabditis elegans was performed in a label-free manner. In particular, in an SHG image of an entire coronal brain section (8 × 6 mm2), we observed mesh-like and filamentous structures in the arachnoid mater and wall of the cerebral ventricle, probably corresponding to the collagen fibers, cilia, and rootlet. Moreover, the THG images clearly depicted the densely packed axons in the white matter and cell nuclei at the cortex of the mouse brain slice sample and lipid-rich granules such as lipid droplets inside the nematode. The observations and conclusions drawn from this technique confirm that it can be utilized for various biological applications, including in vivo label-free imaging of living animals.
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Affiliation(s)
- Yusuke Murakami
- Ph.D. Program in Humanics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
- International Institute for Integrative Sleep Medicine (WPI-IIIS), 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Minori Masaki
- Ph.D. Program in Humanics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
- International Institute for Integrative Sleep Medicine (WPI-IIIS), 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Shinichi Miyazaki
- Ph.D. Program in Humanics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
- International Institute for Integrative Sleep Medicine (WPI-IIIS), 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Ryosuke Oketani
- Department of Chemistry, Faculty of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Yu Hayashi
- Ph.D. Program in Humanics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
- International Institute for Integrative Sleep Medicine (WPI-IIIS), 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 603-8363, Japan
| | - Masashi Yanagisawa
- Ph.D. Program in Humanics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
- International Institute for Integrative Sleep Medicine (WPI-IIIS), 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Sakiko Honjoh
- Ph.D. Program in Humanics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
- International Institute for Integrative Sleep Medicine (WPI-IIIS), 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Hideaki Kano
- Ph.D. Program in Humanics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
- Department of Chemistry, Faculty of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
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Adaptive Wave-Front Shaping and Beam Focusing through Fiber Bundles for High-Resolution Bioimaging. PHOTONICS 2021. [DOI: 10.3390/photonics9010021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We demonstrate an adaptive wave-front shaping of optical beams transmitted through fiber bundles as a powerful resource for multisite, high-resolution bioimaging. With the phases of all the beamlets delivered through up to 6000 different fibers within the fiber bundle controlled individually, by means of a high-definition spatial light modulator, the overall beam transmitted through the fiber bundle can be focused into a beam waist with a diameter less than 1 μm within a targeted area in a biotissue, providing a diffraction-limited spatial resolution adequate for single-cell or even subcellular bioimaging. The field intensity in the adaptively-focused continuous-wave laser beam in our fiber-bundle-imaging setting is more than two orders of magnitude higher than the intensity of the speckle background. Once robust beam focusing was achieved with a suitable phase profile across the input face of the fiber bundle, the beam focus can be scanned over a targeted area with no need for a further adaptive search, by applying a physically intuitive, wave-front-tilting phase mask on the field of input beamlets. This method of beam-focus scanning promises imaging speeds compatible with the requirements of in vivo calcium imaging.
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