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Advanced Sensing Technology in Optical Coherence Tomography
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Advanced Sensing Technology in Optical Coherence Tomography

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 15 December 2024 | Viewed by 1051

Special Issue Editor

Dr. Zhenyang Ding

E-Mail Website
Guest Editor
School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China
Interests: optical fiber sensing; optical coherence tomography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Optical coherence tomography (OCT) performs high-resolution, cross-sectional, and three-dimensional volumetric imaging of the internal microstructure in biological tissues by measuring echoes of backscattered light. In addition to structural imaging, OCT can assess birefringence (e.g., polarization-sensitive OCT), microflow (Doppler OCT), tensile properties (OCT elastography), and tissue chemistry (OCT spectroscopy). OCT has demonstrated great potential in many clinical applications, particularly in cardiology, arthritis, and ophthalmology.

This Special Issue, therefore, aims to put together original research and review articles on the recent advances, technologies, solutions, applications, and new challenges in the field of OCT.

Potential topics include but are not limited to:

  • Optical coherence tomography;
  • Polarization-sensitive OCT;
  • Doppler OCT;
  • OCT elastography;
  • Catheter-based OCT;
  • Clinical applications based on OCT.

Dr. Zhenyang Ding
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

12 pages, 3873 KiB  
Article
A New Method for In-Situ Characterization of Solid-State Batteries Based on Optical Coherence Tomography
by Jinze Li, Tianhong Ma, Xin Liu, Jiawei Xi, Li Deng, Hao Sun, Yanxin Yang and Xiang Li
Sensors 2024, 24(8), 2392; https://doi.org/10.3390/s24082392 - 09 Apr 2024
Viewed by 381
Abstract
With the in-depth study of solid-state batteries (SSBs), various in situ and ex situ characterization technologies have been widely used to study them. The performance and reliability of SSBs are limited by the formation and evolution of lithium dendrites at the interfaces between [...] Read more.
With the in-depth study of solid-state batteries (SSBs), various in situ and ex situ characterization technologies have been widely used to study them. The performance and reliability of SSBs are limited by the formation and evolution of lithium dendrites at the interfaces between solid electrodes and solid electrolytes. We propose a new method based on optical coherence tomography (OCT) for in situ characterization of the internal state of solid-state batteries. OCT is a low-loss, high-resolution, non-invasive imaging technique that can provide real-time monitoring of cross-sectional images of internal structures of SSBs. The morphology, growth, and evolution of lithium dendrites at different stages of cycling under various conditions can be visualized and quantified by OCT. Furthermore, we validate and correlate the OCT results with scanning electron microscopy (SEM) and XPS, proving the accuracy and effectiveness of the OCT characterization method. We reveal the interfacial phenomena and challenges in SSBs and demonstrate the feasibility and advantages of OCT as a powerful tool for in situ and operando imaging of battery interfaces. This study provides new insights into the mechanisms and factors that affect SSB performance, safety, and lifetime, and suggests possible solutions for improvement and application in the field of applied energy. Full article
(This article belongs to the Special Issue Advanced Sensing Technology in Optical Coherence Tomography)
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15 pages, 5085 KiB  
Article
Pressure-Insensitive Epidermal Thickness of Fingertip Skin for Optical Image Encryption
by Wangbiao Li, Bo Zhang, Xiaoman Zhang, Bin Liu, Hui Li, Shulian Wu and Zhifang Li
Sensors 2024, 24(7), 2128; https://doi.org/10.3390/s24072128 - 26 Mar 2024
Viewed by 310
Abstract
In this study, an internal fingerprint-guided epidermal thickness of fingertip skin is proposed for optical image encryption based on optical coherence tomography (OCT) combined with U-Net architecture of a convolutional neural network (CNN). The epidermal thickness of fingertip skin is calculated by the [...] Read more.
In this study, an internal fingerprint-guided epidermal thickness of fingertip skin is proposed for optical image encryption based on optical coherence tomography (OCT) combined with U-Net architecture of a convolutional neural network (CNN). The epidermal thickness of fingertip skin is calculated by the distance between the upper and lower boundaries of the epidermal layer in cross-sectional optical coherence tomography (OCT) images, which is segmented using CNN, and the internal fingerprint at the epidermis–dermis junction (DEJ) is extracted based on the maximum intensity projection (MIP) algorithm. The experimental results indicate that the internal fingerprint-guided epidermal thickness is insensitive to pressure due to normal correlation coefficients and the encryption process between epidermal thickness maps of fingertip skin under different pressures. In addition, the result of the numerical simulation demonstrates the feasibility and security of the encryption scheme by structural similarity index matrix (SSIM) analysis between the original image and the recovered image with the correct and error keys decryption, respectively. The robustness is analyzed based on the SSIM value in three aspects: different pressures, noise attacks, and data loss. Key randomness is valid by the gray histograms, and the average correlation coefficients of adjacent pixelated values in three directions and the average entropy were calculated. This study suggests that the epidermal thickness of fingertip skin could be seen as important biometric information for information encryption. Full article
(This article belongs to the Special Issue Advanced Sensing Technology in Optical Coherence Tomography)
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