Advanced Biomaterials, Biodevices, and Their Application

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B:Biology and Biomedicine".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 422

Special Issue Editors


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Guest Editor
Facultad de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Tijuana 21500, Mexico
Interests: tissue engineering; drug delivery systems; biotechnology; nanotechnology; electrospinning; biosensors
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Calzada Universidad 14418, Parque Industrial Internacional, Tijuana 22300, Mexico
Interests: pharmacology; nanomedicine; pharmacy; clinical pharmacology; pharmacovigilance
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Biomedical Engineering Research Group—GBIO, Universidad Autónoma de Occidente, Cali 760030, Colombia
Interests: optoelectronics; biomaterials; bioengineering; drug delivery systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

This Special Issue, titled "Advanced Biomaterials, Biodevices, and Their Application", aims to highlight recent breakthroughs in the design, development, and deployment of biomaterials and biodevices across medical, environmental, and industrial fields. As interdisciplinary innovations accelerate, novel biomaterials—ranging from smart polymers and bioinspired composites to tissue scaffolds and regenerative matrices—are increasingly integrated with advanced biodevices, such as biosensors, wearable systems, and implantable technologies. This Special Issue will focus on the synthesis, functionalization, characterization, and application of cutting-edge biomaterials, as well as the engineering and clinical translation of biodevices. Contributions will cover experimental studies, theoretical modeling, and real-world applications that address critical challenges in healthcare (e.g., diagnostics, drug delivery, and regenerative medicine), sustainable development, and personalized therapy. We invite original research articles, reviews, and case studies that explore new material–biodevice interfaces, biocompatibility assessments, scalable fabrication techniques, and emerging technologies, such as bioelectronics and soft robotics. This collection will serve as a comprehensive resource for scientists, engineers, and clinicians working to shape the next generation of biomaterials and biodevice innovations.

Dr. Luis Jesús Villarreal-Gómez
Dr. Jose Cornejo-Bravo
Dr. Faruk Fonthal Rico
Guest Editors

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Keywords

 
  • advanced biomaterials
  • biodevices
  • biomedical engineering
  • biomaterials science
  • biocompatibility
  • smart materials
  • nanomaterials for biomedicine
  • functionalized polymers
  • biopolymer composites
  • sustainable biomaterials
  • tissue engineering
  • regenerative medicine
  • drug delivery systems
  • diagnostics
  • therapeutic devices
  • biosensors
  • bioelectronics
  • wearable devices
  • implantable technologies
  • soft robotics
  • biofabrication
  • 3D printing of biomaterials
  • microfabrication techniques
  • material–device integration
  • clinical translation of biodevices
  • electrospinning

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Published Papers (1 paper)

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Research

16 pages, 7343 KB  
Article
Accelerated Super-Resolution Reconstruction for Structured Illumination Microscopy Integrated with Low-Light Optimization
by Caihong Huang, Dingrong Yi and Lichun Zhou
Micromachines 2025, 16(9), 1020; https://doi.org/10.3390/mi16091020 - 3 Sep 2025
Viewed by 166
Abstract
Structured illumination microscopy (SIM) with π/2 phase-shift modulation traditionally relies on frequency-domain computation, which greatly limits processing efficiency. In addition, the illumination regime inherent in structured illumination techniques often results in poor visual quality of reconstructed images. To address these dual challenges, this [...] Read more.
Structured illumination microscopy (SIM) with π/2 phase-shift modulation traditionally relies on frequency-domain computation, which greatly limits processing efficiency. In addition, the illumination regime inherent in structured illumination techniques often results in poor visual quality of reconstructed images. To address these dual challenges, this study introduces DM-SIM-LLIE (Differential Low-Light Image Enhancement SIM), a novel framework that integrates two synergistic innovations. First, the study pioneers a spatial-domain computational paradigm for π/2 phase-shift SIM reconstruction. Through system differentiation, mathematical derivation, and algorithm simplification, an optimized spatial-domain model is established. Second, an adaptive local overexposure correction strategy is developed, combined with a zero-shot learning deep learning algorithm, RUAS, to enhance the image quality of structured light reconstructed images. Experimental validation using specimens such as fluorescent microspheres and bovine pulmonary artery endothelial cells demonstrates the advantages of this approach: compared with traditional frequency-domain methods, the reconstruction speed is accelerated by five times while maintaining equivalent lateral resolution and excellent axial resolution. The image quality of the low-light enhancement algorithm after local overexposure correction is superior to existing methods. These advances significantly increase the application potential of SIM technology in time-sensitive biomedical imaging scenarios that require high spatiotemporal resolution. Full article
(This article belongs to the Special Issue Advanced Biomaterials, Biodevices, and Their Application)
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