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Current Updates on Optical Scattering
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Current Updates on Optical Scattering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Physics General".

Deadline for manuscript submissions: closed (20 February 2026) | Viewed by 1732

Special Issue Editors

Dr. Zhipeng Yu

E-Mail Website
Guest Editor
Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: optical scattering; optical engineering; physical optics
Dr. Puxiang Lai

E-Mail Website
Guest Editor
Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: deep-tissue optics; optical wavefront shaping; photoacoustic/optoacoustic imaging; optical microscopy; optical computing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the modulation and utilization of optical scattering have “transformed chaos into order” and “turned disorder into secure coding”, which have significantly expanded the development of fields such as computational optics, biophotonics, and micro-nano photonics. Therefore, this Special Issue is intended for the presentation of new ideas and experimental results of optical scattering within interdisciplinary realms. Areas relevant to the applications of optical scattering include, but are not limited to, deep tissue focusing, microinvasive imaging, optical computing, vector field manipulation, optical tweezer, nonlinear modulation, 3D holography, learning-based optical imaging, and learning-based optical encryption.

This Special Issue will publish high-quality research articles, review articles, and short communications in the following overlapping fields:

  • Deep tissue focusing;
  • Microinvasive/noninvasive imaging;
  • Optical computing;
  • Vector field manipulation;
  • Optical tweezer;
  • Nonlinear modulation;
  • 3D holography;
  • Learning-based optical imaging;
  • Learning-based optical encryption.

Dr. Zhipeng Yu
Dr. Puxiang Lai
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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences 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 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 scattering
  • optical wavefront shaping
  • optical modulation
  • optical phase conjugation
  • intelligent algorithms
  • transmission matrix
  • artificial intelligence, machine learning, and deep learning
  • optical encryption
  • optical holography

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Published Papers (2 papers)

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Research

18 pages, 3970 KB  
Article
Light Scattering from Small Clusters of Chiral and Symmetric Particles: Shape-Dependent Analysis
by Yehor Surkov, Yuriy Shkuratov, Karri Muinonen, Antti Penttilä, Vadym Kaydash, Yongxiang Hu, Yong-Le Pan, Chuji Wang and Gorden Videen
Appl. Sci. 2026, 16(2), 839; https://doi.org/10.3390/app16020839 - 14 Jan 2026
Viewed by 401
Abstract
We present a numerical study comparing light scattering by small clusters composed of helices, capsules, and spheres. Using the discrete-dipole approximation (DDA), we compute orientation-averaged Mueller-matrix elements M11, M12, and M14 for clusters with varying number of monomers [...] Read more.
We present a numerical study comparing light scattering by small clusters composed of helices, capsules, and spheres. Using the discrete-dipole approximation (DDA), we compute orientation-averaged Mueller-matrix elements M11, M12, and M14 for clusters with varying number of monomers (N = 5–45) and mean center-to-center separation (1–10 particle diameters). Our analysis isolates the influence of particle morphology on angular scattering intensity, linear polarization, and circular intensity differential scattering (CIDS), providing a direct comparison of symmetric and chiral shapes. Helices display persistent angular fine structure in M11 and deep, side-scattering maxima in M12, while spheres and capsules converge to smoother polarization curves with increasing separation. CIDS from symmetric monomers manifests as small oscillations around zero that decay rapidly with monomer separation and number. In contrast, helices produce a stable backward CIDS slope that is largely separation-independent but gradually flattens with increasing number of monomers. These trends confirm that morphology alone can influence key polarization characteristics and provide insights for interpreting scattering from complex-shaped particles. Such morphology-related features may help in the interpretation of polarization data in aerosol and planetary remote sensing and justify the refinement of the design of optical setups for studying irregular or chiral particles in controlled environments. Full article
(This article belongs to the Special Issue Current Updates on Optical Scattering)
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14 pages, 7836 KB  
Article
Optimization of Lensless Imaging Using Ray Tracing
by Samira Arabpou and Simon Thibault
Appl. Sci. 2026, 16(1), 275; https://doi.org/10.3390/app16010275 - 26 Dec 2025
Viewed by 796
Abstract
Lensless microscopy is a well-established imaging approach that replaces traditional lenses with phase modulators, enabling compact, low-cost, and computationally driven analysis of biological samples. In this work, we show how ray tracing simulations can be used to optimize lensless imaging systems for automated [...] Read more.
Lensless microscopy is a well-established imaging approach that replaces traditional lenses with phase modulators, enabling compact, low-cost, and computationally driven analysis of biological samples. In this work, we show how ray tracing simulations can be used to optimize lensless imaging systems for automated classification, particularly for detecting red blood cell (RBC) disease. Rather than improving the machine learning classification algorithm, our focus is on refining optical parameters such as element spacing and modulator type to maximize classification performance. We modeled a lensless microscope in Zemax OpticStudio (ray tracing) and compared the results against Fourier optics simulations. Despite not explicitly modeling diffraction, ray tracing produced classification results largely consistent with wave optics simulations, confirming its effectiveness for parameter optimization in lensless imaging setups used for classification tasks. Furthermore, to show the flexibility of the ray tracing model, we introduced a microlens array (MLA) as the phase modulator and performed the classification task on the generated patterns. These results establish ray tracing as an efficient tool for the optical design of lensless microscopy systems intended for machine learning based biomedical applications. The developed lensless microscopy model enables the generation of datasets for training neural networks. Full article
(This article belongs to the Special Issue Current Updates on Optical Scattering)
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