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Cho SW, Nguyen VT, DiSpirito A, Yang J, Kim CS, Yao J. Sounding out the dynamics: a concise review of high-speed photoacoustic microscopy. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11521. [PMID: 38323297 PMCID: PMC10846286 DOI: 10.1117/1.jbo.29.s1.s11521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/15/2023] [Accepted: 01/11/2024] [Indexed: 02/08/2024]
Abstract
Significance Photoacoustic microscopy (PAM) offers advantages in high-resolution and high-contrast imaging of biomedical chromophores. The speed of imaging is critical for leveraging these benefits in both preclinical and clinical settings. Ongoing technological innovations have substantially boosted PAM's imaging speed, enabling real-time monitoring of dynamic biological processes. Aim This concise review synthesizes historical context and current advancements in high-speed PAM, with an emphasis on developments enabled by ultrafast lasers, scanning mechanisms, and advanced imaging processing methods. Approach We examine cutting-edge innovations across multiple facets of PAM, including light sources, scanning and detection systems, and computational techniques and explore their representative applications in biomedical research. Results This work delineates the challenges that persist in achieving optimal high-speed PAM performance and forecasts its prospective impact on biomedical imaging. Conclusions Recognizing the current limitations, breaking through the drawbacks, and adopting the optimal combination of each technology will lead to the realization of ultimate high-speed PAM for both fundamental research and clinical translation.
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Affiliation(s)
- Soon-Woo Cho
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
- Pusan National University, Engineering Research Center for Color-Modulated Extra-Sensory Perception Technology, Busan, Republic of Korea
| | - Van Tu Nguyen
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Anthony DiSpirito
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Joseph Yang
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Chang-Seok Kim
- Pusan National University, Engineering Research Center for Color-Modulated Extra-Sensory Perception Technology, Busan, Republic of Korea
| | - Junjie Yao
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
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Dimaridis I, Sridharan P, Ntziachristos V, Karlas A, Hadjileontiadis L. Image Quality Improvement Techniques and Assessment Adequacy in Clinical Optoacoustic Imaging: A Systematic Review. BIOSENSORS 2022; 12:901. [PMID: 36291038 PMCID: PMC9599915 DOI: 10.3390/bios12100901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/09/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
Optoacoustic imaging relies on the detection of optically induced acoustic waves to offer new possibilities in morphological and functional imaging. As the modality matures towards clinical application, research efforts aim to address multifactorial limitations that negatively impact the resulting image quality. In an endeavor to obtain a clear view on the limitations and their effects, as well as the status of this progressive refinement process, we conduct an extensive search for optoacoustic image quality improvement approaches that have been evaluated with humans in vivo, thus focusing on clinically relevant outcomes. We query six databases (PubMed, Scopus, Web of Science, IEEE Xplore, ACM Digital Library, and Google Scholar) for articles published from 1 January 2010 to 31 October 2021, and identify 45 relevant research works through a systematic screening process. We review the identified approaches, describing their primary objectives, targeted limitations, and key technical implementation details. Moreover, considering comprehensive and objective quality assessment as an essential prerequisite for the adoption of such approaches in clinical practice, we subject 36 of the 45 papers to a further in-depth analysis of the reported quality evaluation procedures, and elicit a set of criteria with the intent to capture key evaluation aspects. Through a comparative criteria-wise rating process, we seek research efforts that exhibit excellence in quality assessment of their proposed methods, and discuss features that distinguish them from works with similar objectives. Additionally, informed by the rating results, we highlight areas with improvement potential, and extract recommendations for designing quality assessment pipelines capable of providing rich evidence.
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Affiliation(s)
- Ioannis Dimaridis
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Patmaa Sridharan
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 80992 Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany
| | - Angelos Karlas
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany
- Clinic for Vascular and Endovascular Surgery, Klinikum rechts der Isar, 81675 Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Signal Processing and Biomedical Technology Unit, Telecommunications Laboratory, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Zhou Y, Liu C, Huang X, Qian X, Wang L, Lai P. Low-consumption photoacoustic method to measure liquid viscosity. BIOMEDICAL OPTICS EXPRESS 2021; 12:7139-7148. [PMID: 34858705 PMCID: PMC8606139 DOI: 10.1364/boe.444144] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 10/17/2021] [Accepted: 10/19/2021] [Indexed: 05/10/2023]
Abstract
Viscosity measurement is important in many areas of biomedicine and industry. Traditional viscometers are usually time-consuming and require huge sample volumes. Microfluidic viscometry may overcome the challenge of large sample consumption but suffers from a long process time and a complicated structure design and interaction. Here, we present a photoacoustic method that measures the liquid viscosity in a simple microfluidic-based tube. This new viscosity measurement method embraces fast detection speed and low fluid consumption, offering a new tool for efficient and convenient liquid viscosity measurement in a broad range of applications.
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Affiliation(s)
- Yingying Zhou
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
- These authors contributed equally to this work
| | - Chao Liu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong
- These authors contributed equally to this work
| | - Xiazi Huang
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
- These authors contributed equally to this work
| | - Xiang Qian
- Tsinghua-Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Lidai Wang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
| | - Puxiang Lai
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
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Ma Y, Lu C, Xiong K, Zhang W, Yang S. Correction to: Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy. Vis Comput Ind Biomed Art 2020; 3:30. [PMID: 33345289 PMCID: PMC7750381 DOI: 10.1186/s42492-020-00066-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
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