Recent Progress in Biophotonics

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 April 2024) | Viewed by 502

Special Issue Editors


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Guest Editor
Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
Interests: biophotonics; optical coherence tomography; photoacoustics; pulmonary applications; clinical applications; machine learning in biomedicine

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Guest Editor
Department of Biomedical Engineering, Washington University in Saint Louis, St. Louis, MI 63130, USA
Interests: optical coherence tomography; fluorescence microscopy; organoids; clearings; cardiology applications; machine learning

Special Issue Information

Dear Colleagues,

Biophotonics, a multidisciplinary field at the intersection of biology, optics, and photonics, has witnessed remarkable advancements in recent years. This Special Issue, titled "Recent Progress in Biophotonics", aims to showcase the latest breakthroughs and innovations in various cutting-edge biophotonic imaging techniques and their applications in biomedicine. This collection of research articles brings together the most current developments in optical coherence tomography (OCT), optical coherence microscopy (OCM), photoacoustic tomography (PAT), photoacoustic microscopy (PAM), fluorescence microscopy (FM), as well as the emerging fields of pulmonary applications, cardiology applications, clearings, and organoids. Additionally, the integration of machine learning in biomedicine will be explored to demonstrate its potential in advancing the capabilities of biophotonics. As we delve into this Special Issue, we anticipate that the recent progress of research presented here will inspire further innovations in biophotonics, propelling the field towards unprecedented advancements in biomedical imaging and its impact on biophotonics. We extend our sincere gratitude to all the contributing authors for their exceptional contributions to this Special Issue, and we hope this collection will serve as a valuable resource for researchers and practitioners in the field of biophotonics.

Thank you all for your support and dedication to advancing the frontiers of knowledge in this fascinating domain.

Dr. Jaeyul Lee
Dr. Kibeom Park
Guest Editors

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. Photonics is an international peer-reviewed open access monthly 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 2400 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.

Keywords

  • optical coherence tomography
  • optical coherence microscopy
  • photoacoustic tomography
  • photoacoustic microscopy
  • fluorescence microscopy
  • biomedical imaging
  • multimodal imaging
  • organoids
  • clearings
  • pulmonary applications
  • cardiology applications
  • clinical applications
  • machine learning for image processing
  • machine learning in biomedicine

Published Papers (1 paper)

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Research

18 pages, 2079 KiB  
Article
Direct Numerical Modeling as a Tool for Optical Coherence Tomography Development: SNR (Sensitivity) and Lateral Resolution Test Target Interpretation
by Samuel Lawman and Yao-Chun Shen
Photonics 2024, 11(5), 419; https://doi.org/10.3390/photonics11050419 - 30 Apr 2024
Abstract
Optical Coherence Tomography (OCT) is a growing family of biophotonic imaging techniques, but in the literature there is a lack of easy-to-use tools to universally directly evaluate a device’s theoretical performance for a given metric. Modern computing tools mean that direct numerical modeling [...] Read more.
Optical Coherence Tomography (OCT) is a growing family of biophotonic imaging techniques, but in the literature there is a lack of easy-to-use tools to universally directly evaluate a device’s theoretical performance for a given metric. Modern computing tools mean that direct numerical modeling can, from first principles, simulate the performance metrics of a specific device directly without relying on analytical approximations and/or complexities. Here, we present two different direct numerical models, along with the example MATLAB code for the reader to adapt to their own systems. The first model is of photo-electron shot noise at the detector, the primary noise source for OCT. We use this firstly to evaluate the amount of additional noise present (1.5 dB) for an experimental setup. Secondly, we demonstrate how to use it to precisely quantify the expected shot noise SNR limit difference between time-domain and Fourier-domain OCT systems in a given hypothetical experiment. The second model is used to demonstrate how USAF 1951 test chart images should be interpreted for a given lateral PSF shape. Direct numerical modeling is an easy and powerful basic tool for researchers and developers, the wider use of which may improve the rigor of the OCT literature. Full article
(This article belongs to the Special Issue Recent Progress in Biophotonics)
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