Multiphoton Microscopy

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Biophotonics and Biomedical Optics".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 13051

Special Issue Editors


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Guest Editor
Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
Interests: biomedical optics; retinal imaging; in vivo imaging; multiphoton; microscopy; autofluorescence imaging; light safety; visual optics; adaptive optics

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Guest Editor
Laboratory of Biophotonics, Institute of Applied Physics RAS, Ulyanov str., 46, Nizhny Novgorod, Russia
Interests: biophotonics; optical diagnostics; light scattering; photodynamic therapy
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Special Issue Information

Dear Colleagues,

Multiphoton microscopy is one of the most commonly used imaging methods, especially for in vivo animal experiments. High resolution imaging, optical sectioning capability, and increased penetrance into the tissue provide essential advantages for the technique. Multiphoton imaging can also be simultaneously combined with other imaging setups, behavioral paradigms, interventions to physiology or pathology, and 1-P/2-P optogenetics, allowing for a broad experimental scope. With a widening spectrum of fluorophores and growing library of genetically modified animals, this application allows researchers to seek even more specific answers to biological questions, therefore increasing its popularity. In this Special Issue, we would like to encourage the participation of a wide range of studies using multiphoton microscopy and emphasize applications in data acquisition.

Dr. Christina Schwarz
Dr. Mikhail Kirillin
Guest Editors

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Keywords

  • Multiphoton microscopy
  • Imaging
  • Optogenetics
  • In vivo
  • Fluorophore
  • Genetically modified

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Published Papers (5 papers)

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Research

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12 pages, 10268 KiB  
Article
Collagen Organization, Polarization Sensitivity and Image Quality in Human Corneas using Second Harmonic Generation Microscopy
by Juan M. Bueno, Rosa M. Martínez-Ojeda, Inés Yago and Francisco J. Ávila
Photonics 2022, 9(10), 672; https://doi.org/10.3390/photonics9100672 - 20 Sep 2022
Cited by 4 | Viewed by 1620
Abstract
In this paper, a Second-Harmonic-Generation (SHG) microscope was used to study the relationship between collagen structural arrangement, image quality and polarization sensitivity in human corneas with different organizations. The degree of order (or alternatively, the Structural Dispersion, SD) was quantified using the structure [...] Read more.
In this paper, a Second-Harmonic-Generation (SHG) microscope was used to study the relationship between collagen structural arrangement, image quality and polarization sensitivity in human corneas with different organizations. The degree of order (or alternatively, the Structural Dispersion, SD) was quantified using the structure tensor method. SHG image quality was evaluated with different objective metrics. Dependence with polarization was quantified by means of a parameter defined as polarimetric modulation, which employs polarimetric SHG images acquired with four independent polarization states. There is a significant exponential relationship between the quality of the SHG images and the SD of the samples. Moreover, polarization sensitivity strongly depends on collagen arrangement. For quasi- or partially organized specimens, there is a polarization state that noticeably improves the image quality, providing additional information often not seen in other SHG images. This does not occur in non-organized samples. This fact is closely related to polarimetric modulation, which linearly decreases with the SD. Understanding in more detail the relationships that take place between collagen distribution, image quality and polarization sensitivity brings the potential to enable the development of optimized SHG image acquisition protocols and novel objective strategies for the analysis and detection of pathologies related to corneal collagen disorders, as well as surgery follow-ups. Full article
(This article belongs to the Special Issue Multiphoton Microscopy)
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19 pages, 6676 KiB  
Article
A Compressed Reconstruction Network Combining Deep Image Prior and Autoencoding Priors for Single-Pixel Imaging
by Jian Lin, Qiurong Yan, Shang Lu, Yongjian Zheng, Shida Sun and Zhen Wei
Photonics 2022, 9(5), 343; https://doi.org/10.3390/photonics9050343 - 13 May 2022
Cited by 7 | Viewed by 3152
Abstract
Single-pixel imaging (SPI) is a promising imaging scheme based on compressive sensing. However, its application in high-resolution and real-time scenarios is a great challenge due to the long sampling and reconstruction required. The Deep Learning Compressed Network (DLCNet) can avoid the long-time iterative [...] Read more.
Single-pixel imaging (SPI) is a promising imaging scheme based on compressive sensing. However, its application in high-resolution and real-time scenarios is a great challenge due to the long sampling and reconstruction required. The Deep Learning Compressed Network (DLCNet) can avoid the long-time iterative operation required by traditional reconstruction algorithms, and can achieve fast and high-quality reconstruction; hence, Deep-Learning-based SPI has attracted much attention. DLCNets learn prior distributions of real pictures from massive datasets, while the Deep Image Prior (DIP) uses a neural network′s own structural prior to solve inverse problems without requiring a lot of training data. This paper proposes a compressed reconstruction network (DPAP) based on DIP for Single-pixel imaging. DPAP is designed as two learning stages, which enables DPAP to focus on statistical information of the image structure at different scales. In order to obtain prior information from the dataset, the measurement matrix is jointly optimized by a network and multiple autoencoders are trained as regularization terms to be added to the loss function. Extensive simulations and practical experiments demonstrate that the proposed network outperforms existing algorithms. Full article
(This article belongs to the Special Issue Multiphoton Microscopy)
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11 pages, 4708 KiB  
Article
Combined TPEF and SHG Imaging for the Microstructural Characterization of Different Wood Species Used in Artworks
by Alice Dal Fovo, Sara Mattana, Marco Marchetti, Monica Anichini, Alessio Giovannelli, Enrico Baria, Raffaella Fontana and Riccardo Cicchi
Photonics 2022, 9(3), 170; https://doi.org/10.3390/photonics9030170 - 10 Mar 2022
Cited by 4 | Viewed by 2534
Abstract
The morphological and chemical conformation of wood microstructures is characteristic of individual species and strongly influences the macromechanical properties of the material, as well as its sensitivity to deterioration factors. Noninvasive techniques enabling the visualization of wood microstructures, while simultaneously providing compositional information, [...] Read more.
The morphological and chemical conformation of wood microstructures is characteristic of individual species and strongly influences the macromechanical properties of the material, as well as its sensitivity to deterioration factors. Noninvasive techniques enabling the visualization of wood microstructures, while simultaneously providing compositional information, can significantly facilitate the analysis of wooden artworks for conservation purposes. In this paper, we present the application of combined two-photon excited fluorescence (TPEF) and second-harmonic generation (SHG) imaging as a versatile diagnostic tool for the microcharacterization of three hardwood species never analyzed by this method. Multimodal mapping of the molecular constituents based on the detected nonlinear signals provides useful information for studying the biological and biochemical deterioration of wood, opening a new field of application for a well-established and widely used imaging technology. Full article
(This article belongs to the Special Issue Multiphoton Microscopy)
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Review

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14 pages, 959 KiB  
Review
Intravital Imaging with Two-Photon Microscopy: A Look into the Kidney
by Vincenzo Costanzo and Michele Costanzo
Photonics 2022, 9(5), 294; https://doi.org/10.3390/photonics9050294 - 27 Apr 2022
Cited by 4 | Viewed by 3812 | Correction
Abstract
Fluorescence microscopy has represented a crucial technique to explore the cellular and molecular mechanisms in the field of biomedicine. However, the conventional one-photon microscopy exhibits many limitations when living samples are imaged. The new technologies, including two-photon microscopy (2PM), have considerably improved the [...] Read more.
Fluorescence microscopy has represented a crucial technique to explore the cellular and molecular mechanisms in the field of biomedicine. However, the conventional one-photon microscopy exhibits many limitations when living samples are imaged. The new technologies, including two-photon microscopy (2PM), have considerably improved the in vivo study of pathophysiological processes, allowing the investigators to overcome the limits displayed by previous techniques. 2PM enables the real-time intravital imaging of the biological functions in different organs at cellular and subcellular resolution thanks to its improved laser penetration and less phototoxicity. The development of more sensitive detectors and long-wavelength fluorescent dyes as well as the implementation of semi-automatic software for data analysis allowed to gain insights in essential physiological functions, expanding the frontiers of cellular and molecular imaging. The future applications of 2PM are promising to push the intravital microscopy beyond the existing limits. In this review, we provide an overview of the current state-of-the-art methods of intravital microscopy, focusing on the most recent applications of 2PM in kidney physiology. Full article
(This article belongs to the Special Issue Multiphoton Microscopy)
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Other

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2 pages, 404 KiB  
Correction
Correction: Costanzo, V.; Costanzo, M. Intravital Imaging with Two-Photon Microscopy: A Look into the Kidney. Photonics 2022, 9, 294
by Vincenzo Costanzo and Michele Costanzo
Photonics 2022, 9(10), 759; https://doi.org/10.3390/photonics9100759 - 12 Oct 2022
Viewed by 1083
Abstract
In the original publication [...] Full article
(This article belongs to the Special Issue Multiphoton Microscopy)
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