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Karlas A, Fasoula NA, Kallmayer M, Schäffer C, Angelis G, Katsouli N, Reidl M, Duelmer F, Al Adem K, Hadjileontiadis L, Eckstein HH, Ntziachristos V. Optoacoustic biomarkers of lipids, hemorrhage and inflammation in carotid atherosclerosis. Front Cardiovasc Med 2023; 10:1210032. [PMID: 38028502 PMCID: PMC10666780 DOI: 10.3389/fcvm.2023.1210032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Imaging plays a critical role in exploring the pathophysiology and enabling the diagnostics and therapy assessment in carotid artery disease. Ultrasonography, computed tomography, magnetic resonance imaging and nuclear medicine techniques have been used to extract of known characteristics of plaque vulnerability, such as inflammation, intraplaque hemorrhage and high lipid content. Despite the plethora of available techniques, there is still a need for new modalities to better characterize the plaque and provide novel biomarkers that might help to detect the vulnerable plaque early enough and before a stroke occurs. Optoacoustics, by providing a multiscale characterization of the morphology and pathophysiology of the plaque could offer such an option. By visualizing endogenous (e.g., hemoglobin, lipids) and exogenous (e.g., injected dyes) chromophores, optoacoustic technologies have shown great capability in imaging lipids, hemoglobin and inflammation in different applications and settings. Herein, we provide an overview of the main optoacoustic systems and scales of detail that enable imaging of carotid plaques in vitro, in small animals and humans. Finally, we discuss the limitations of this novel set of techniques while investigating their potential to enable a deeper understanding of carotid plaque pathophysiology and possibly improve the diagnostics in future patients with carotid artery disease.
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Affiliation(s)
- Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Nikolina-Alexia Fasoula
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Michael Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Christoph Schäffer
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Georgios Angelis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Nikoletta Katsouli
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Mario Reidl
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Felix Duelmer
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Chair for Computer Aided Medical Procedures and Augmented Reality, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Kenana Al Adem
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
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Seeger M, Stylogiannis A, Prade L, Glasl S, Ntziachristos V. Overdriven laser diode optoacoustic microscopy. Sci Rep 2023; 13:19542. [PMID: 37945920 PMCID: PMC10636104 DOI: 10.1038/s41598-023-46855-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023] Open
Abstract
Laser diodes are small and inexpensive but don't afford the pulse energy and beam profile required for optoacoustic (photoacoustic) microscopy. Using two novel modulation concepts, i.e. overdriving continuous-wave laser diodes (CWLD) and frequency-wavelength multiplexing (FWM) based on illumination pulse-trains, we demonstrate concurrent multi-wavelength optoacoustic microscopy with signal-to-noise ratios of > 17 dB, < 2 µm resolution at repetition rates of 1 MHz. This unprecedented performance based on an adaptable trigger engine allowed us to contrast FWM to wavelength alternating acquisition using identical optical components. We showcase this concept's superiority over conventional optoacoustic microscopes by visualizing vascular oxygenation dynamics and circulating tumor cells in mice. This work positions laser diodes as a technology allowing affordable, tunable, and miniaturizable optoacoustic microscopy.
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Affiliation(s)
- Markus Seeger
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Ismaninger St 22, 81675, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landst. 1, 85764, Neuherberg, Germany
| | - Antonios Stylogiannis
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Ismaninger St 22, 81675, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landst. 1, 85764, Neuherberg, Germany
| | - Ludwig Prade
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Ismaninger St 22, 81675, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landst. 1, 85764, Neuherberg, Germany
| | - Sarah Glasl
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Ismaninger St 22, 81675, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landst. 1, 85764, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Ismaninger St 22, 81675, Munich, Germany.
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landst. 1, 85764, Neuherberg, Germany.
- Munich Institute of Biomedical Engineering (MIBE), Technical University of Munich, Boltzmannstr. 11, 85748, Garching b. München, Germany.
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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: 5] [Impact Index Per Article: 2.5] [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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Lee H, Seeger MR, Lippok N, Nadkarni SK, van Soest G, Bouma BE. Nanosecond SRS fiber amplifier for label-free near-infrared photoacoustic microscopy of lipids. PHOTOACOUSTICS 2022; 25:100331. [PMID: 35096525 PMCID: PMC8783138 DOI: 10.1016/j.pacs.2022.100331] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/05/2022] [Accepted: 01/14/2022] [Indexed: 05/18/2023]
Abstract
Near-infrared photoacoustics receives increasing interest as an intravital modality to sense key biomolecules. One of the most central types of biomolecules of interest are lipids as they constitute essential bio-hallmarks of cardiovascular and metabolic diseases and their in-vivo detection holds insightful information about disease progression and treatment monitoring. However, the full potential of near-infrared photoacoustic for high-resolution and high-sensitivity biomedical studies of lipids has so far not been exploited due a lack of appropriate excitation sources delivering short-pulses at high-repetition-rate, high-pulse-energy, and wavelength around 1200 nm. Here, we demonstrate a custom-built SRS fiber amplifier that provides optical excitations at 1192.8 nm, repetition rates of 200 kHz, pulse durations below 2 ns, and pulse energies beyond 5 μJ. We capitalize on the performance of our excitation source and show near-infrared photoacoustics resolving intrinsic lipid contrast in biomedically relevant specimens ranging from single cells to lipid-rich tissue with subcellular resolution.
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Affiliation(s)
- Hwidon Lee
- Harvard Medical School, Boston, Massachusetts, MA 02115, USA
- Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, 40 Blossom Street, Boston, MA 02114, USA
| | - Markus R. Seeger
- Harvard Medical School, Boston, Massachusetts, MA 02115, USA
- Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, 40 Blossom Street, Boston, MA 02114, USA
| | - Norman Lippok
- Harvard Medical School, Boston, Massachusetts, MA 02115, USA
- Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, 40 Blossom Street, Boston, MA 02114, USA
| | - Seemantini K. Nadkarni
- Harvard Medical School, Boston, Massachusetts, MA 02115, USA
- Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, 40 Blossom Street, Boston, MA 02114, USA
| | - Gijs van Soest
- Department of Biomedical Engineering, Erasmus Medical Center, PO Box 2040, 3000 Rotterdam, CA The Netherlands
| | - Brett E. Bouma
- Harvard Medical School, Boston, Massachusetts, MA 02115, USA
- Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, 40 Blossom Street, Boston, MA 02114, USA
- Department of Biomedical Engineering, Erasmus Medical Center, PO Box 2040, 3000 Rotterdam, CA The Netherlands
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
- Corresponding author at: Harvard Medical School, Boston, Massachusetts, MA 02115, USA.
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5
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[Optoacoustic imaging-Applications and advancements of innovative imaging techniques]. Hautarzt 2021; 72:1025-1038. [PMID: 34735593 DOI: 10.1007/s00105-021-04907-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2021] [Indexed: 10/19/2022]
Abstract
Optoacoustic imaging (OAB) has developed steadily in recent years. By means of partly pulsed light, in a wide variety of wavelengths, different colour carriers (chromophores) are excited to form sound waves. These in turn are detected by the newly developed systems and converted into three-dimensional images by means of various algorithms. The technique is characterised by a good ratio between contrast and penetration depth and can create macro-, meso- and microscopic images due to its scalability. Optoacoustic macroscopy broadly irradiates the area to be examined with laser light. This can produce images with a high penetration depth, but only with a moderate resolution. Clinically interesting fields of application are for example the results of sentinel lymph nodes (SLNs) examined ex vivo using macroscopic optoacoustics. Due to the ability of OAB to visualise melanin, the detection rate of metastases was superior to previous methods, but not to histology. The ability to visualise dermal and epidermal structures, especially vessels, with good resolution makes optoacoustic mesoscopy useful in the examination of inflammatory skin diseases and could contribute to the verification of the success of therapy, e.g., with biologics for psoriasis vulgaris or atopic eczema (AE), in the future. Optoacoustic microscopy, which has so far been limited mainly to preclinical in vivo research, could be used in the future to detect even finer vascular structures and their changes. The clinical possibilities of OAB seem to be of great benefit and continue to be the subject of intensive research.
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Zhang G, Hui H, Ning B, Dong D, Tian J, He W. Self-Attention Based Virtual Staining for Bright-field Images of Label-free Human Carotid Atherosclerotic Plaque Tissue Section. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:3492-3495. [PMID: 34891992 DOI: 10.1109/embc46164.2021.9630026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Histological analysis of carotid atherosclerotic plaque tissue specimens is a widely used method for studying the diagnosis of ischemic heart disease and stroke. Understanding the physiological and pathological mechanisms of carotid atherosclerotic plaque is of great significance for the effective prevention and treatment of plaque formation and rupture. In this work, we adapted a self-attention generative adversarial model to virtually stain label-free human carotid atherosclerotic plaque tissue sections into corresponding H&E stained sections. The self-attention mechanism and multi-layer structure are introduced into the residual steps of the generator and in the discriminator. Our method achieved the best performance (SSIM, PSNR, and LPIPS of 0.53, 20.29, and 0.30, respectively) in comparison with other state-of-the-art methods.Clinical Relevance - The proposed approach allows for the virtual staining of unlabeled human carotid plaque tissue images. It identifies the histopathological features of atherosclerotic plaques in the same tissue sample which could facilitate the development of personalized prevention and other interventional treatments for carotid atherosclerosis.
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Zhang G, Ning B, Hui H, Yu T, Yang X, Zhang H, Tian J, He W. Image-to-Images Translation for Multiple Virtual Histological Staining of Unlabeled Human Carotid Atherosclerotic Tissue. Mol Imaging Biol 2021; 24:31-41. [PMID: 34622424 DOI: 10.1007/s11307-021-01641-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 07/19/2021] [Accepted: 08/12/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE Histological analysis of human carotid atherosclerotic plaques is critical in understanding atherosclerosis biology and developing effective plaque prevention and treatment for ischemic stroke. However, the histological staining process is laborious, tedious, variable, and destructive to the highly valuable atheroma tissue obtained from patients. PROCEDURES We proposed a deep learning-based method to simultaneously transfer bright-field microscopic images of unlabeled tissue sections into equivalent multiple sections of the same samples that are virtually stained. Using a pix2pix model, we trained a generative adversarial neural network to achieve image-to-images translation of multiple stains, including hematoxylin and eosin (H&E), picrosirius red (PSR), and Verhoeff van Gieson (EVG) stains. RESULTS The quantification of evaluation metrics indicated that the proposed approach achieved the best performance in comparison with other state-of-the-art methods. Further blind evaluation by board-certified pathologists demonstrated that the multiple virtual stains have high consistency with standard histological stains. The proposed approach also indicated that the generated histopathological features of atherosclerotic plaques, such as the necrotic core, neovascularization, cholesterol crystals, collagen, and elastic fibers, are optimally matched with those of standard histological stains. CONCLUSIONS The proposed approach allows for the virtual staining of unlabeled human carotid plaque tissue images with multiple types of stains. In addition, it identifies the histopathological features of atherosclerotic plaques in the same tissue sample, which could facilitate the development of personalized prevention and other interventional treatments for carotid atherosclerosis.
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Affiliation(s)
- Guanghao Zhang
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100190, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Bin Ning
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Hui Hui
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Tengfei Yu
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xin Yang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Hongxia Zhang
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, 100083, China. .,Zhuhai Precision Medical Center, Zhuhai People's Hospital, Affiliated With Jinan University, Zhuhai, 519000, China.
| | - Wen He
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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Seeger M, Dehner C, Jüstel D, Ntziachristos V. Label-free concurrent 5-modal microscopy (Co5M) resolves unknown spatio-temporal processes in wound healing. Commun Biol 2021; 4:1040. [PMID: 34489513 PMCID: PMC8421396 DOI: 10.1038/s42003-021-02573-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 08/18/2021] [Indexed: 02/07/2023] Open
Abstract
The non-invasive investigation of multiple biological processes remains a methodological challenge as it requires capturing different contrast mechanisms, usually not available with any single modality. Intravital microscopy has played a key role in dynamically studying biological morphology and function, but it is generally limited to resolving a small number of contrasts, typically generated by the use of transgenic labels, disturbing the biological system. We introduce concurrent 5-modal microscopy (Co5M), illustrating a new concept for label-free in vivo observations by simultaneously capturing optoacoustic, two-photon excitation fluorescence, second and third harmonic generation, and brightfield contrast. We apply Co5M to non-invasively visualize multiple wound healing biomarkers and quantitatively monitor a number of processes and features, including longitudinal changes in wound shape, microvascular and collagen density, vessel size and fractality, and the plasticity of sebaceous glands. Analysis of these parameters offers unique insights into the interplay of wound closure, vasodilation, angiogenesis, skin contracture, and epithelial reformation in space and time, inaccessible by other methods. Co5M challenges the conventional concept of biological observation by yielding multiple simultaneous parameters of pathophysiological processes in a label-free mode.
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Affiliation(s)
- Markus Seeger
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christoph Dehner
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Dominik Jüstel
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
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9
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Karlas A, Kallmayer M, Bariotakis M, Fasoula NA, Liapis E, Hyafil F, Pelisek J, Wildgruber M, Eckstein HH, Ntziachristos V. Multispectral optoacoustic tomography of lipid and hemoglobin contrast in human carotid atherosclerosis. PHOTOACOUSTICS 2021; 23:100283. [PMID: 34381689 PMCID: PMC8340302 DOI: 10.1016/j.pacs.2021.100283] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/07/2021] [Accepted: 07/08/2021] [Indexed: 05/09/2023]
Abstract
Several imaging techniques aim at identifying features of carotid plaque instability but come with limitations, such as the use of contrast agents, long examination times and poor portability. Multispectral optoacoustic tomography (MSOT) employs light and sound to resolve lipid and hemoglobin content, both features associated with plaque instability, in a label-free, fast and highly portable way. Herein, 5 patients with carotid atherosclerosis, 5 healthy volunteers and 2 excised plaques, were scanned with handheld MSOT. Spectral unmixing allowed visualization of lipid and hemoglobin content within three ROIs: whole arterial cross-section, plaque and arterial lumen. Calculation of the fat-blood-ratio (FBR) value within the ROIs enabled the differentiation between patients and healthy volunteers (P = 0.001) and between plaque and lumen in patients (P = 0.04). Our results introduce MSOT as a tool for molecular imaging of human carotid atherosclerosis and open new possibilities for research and clinical assessment of carotid plaques.
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Affiliation(s)
- Angelos Karlas
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Michael Kallmayer
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Michael Bariotakis
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
| | - Nikolina-Alexia Fasoula
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
| | - Evangelos Liapis
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
| | - Fabien Hyafil
- INSERM U1148, Laboratory for Vascular Translational Science (LVTS), DHU FIRE, University de Paris, Paris, France
- Department of Nuclear Medicine, Bichat University Hospital, Assistance-Publique-Hôpitaux de Paris, Paris, France
| | - Jaroslav Pelisek
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- Department of Vascular Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Moritz Wildgruber
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Hans-Henning Eckstein
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Corresponding author at: Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.
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10
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Karlas A, Pleitez MA, Aguirre J, Ntziachristos V. Optoacoustic imaging in endocrinology and metabolism. Nat Rev Endocrinol 2021; 17:323-335. [PMID: 33875856 DOI: 10.1038/s41574-021-00482-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/19/2021] [Indexed: 02/02/2023]
Abstract
Imaging is an essential tool in research, diagnostics and the management of endocrine disorders. Ultrasonography, nuclear medicine techniques, MRI, CT and optical methods are already used for applications in endocrinology. Optoacoustic imaging, also termed photoacoustic imaging, is emerging as a method for visualizing endocrine physiology and disease at different scales of detail: microscopic, mesoscopic and macroscopic. Optoacoustic contrast arises from endogenous light absorbers, such as oxygenated and deoxygenated haemoglobin, lipids and water, or exogenous contrast agents, and reveals tissue vasculature, perfusion, oxygenation, metabolic activity and inflammation. The development of high-performance optoacoustic scanners for use in humans has given rise to a variety of clinical investigations, which complement the use of the technology in preclinical research. Here, we review key progress with optoacoustic imaging technology as it relates to applications in endocrinology; for example, to visualize thyroid morphology and function, and the microvasculature in diabetes mellitus or adipose tissue metabolism, with particular focus on multispectral optoacoustic tomography and raster-scan optoacoustic mesoscopy. We explain the merits of optoacoustic microscopy and focus on mid-infrared optoacoustic microscopy, which enables label-free imaging of metabolites in cells and tissues. We showcase current optoacoustic applications within endocrinology and discuss the potential of these technologies to advance research and clinical practice.
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Affiliation(s)
- Angelos Karlas
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Munich Partner Site, German Center for Cardiovascular Research (DZHK), Munich, Germany
| | - Miguel A Pleitez
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Juan Aguirre
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
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11
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Shan D, Dou G, Yang J, Wang X, Wang J, Zhang W, He B, Liu Y, Chen Y, Li Y. Epicardial Adipose Tissue Volume Is Associated with High Risk Plaque Profiles in Suspect CAD Patients. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:6663948. [PMID: 33953836 PMCID: PMC8057896 DOI: 10.1155/2021/6663948] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 02/14/2021] [Accepted: 04/02/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To explore the association between EAT volume and plaque precise composition and high risk plaque detected by coronary computed tomography angiography (CCTA). METHODS 101 patients with suspected coronary artery disease (CAD) underwent CCTA examination from March to July 2019 were enrolled, including 70 cases acute coronary syndrome (ACS) and 31 cases stable angina pectoris (SAP). Based on CCTA image, atherosclerotic plaque precise compositions were analyzed using dedicated quantitative software. High risk plaque was defined as plaque with more than 2 high risk features (spotty calcium, positive remolding, low attenuation plaque, napkin-ring sign) on CCTA image. The association between EAT volume and plaque composition was assessed as well as the different of correlation between ACS and SAP was analyzed. Multivariable logistic regression analysis was used to explore whether EAT volume was independent risk factors of high risk plaque (HRP). RESULTS EAT volume in the ACS group was significantly higher than that of the SAP group (143.7 ± 49.8 cm3 vs. 123.3 ± 39.2 cm3, P = 0.046). EAT volume demonstrated a significant positive correlation with total plaque burden (r = 0.298, P = 0.003), noncalcified plaque burden (r = 0.245, P = 0.013), lipid plaque burden (r = 0.250, P = 0.012), and homocysteine (r = 0.413, P ≤ 0.001). In ACS, EAT volume was positively correlated with total plaque burden (r = 0.309, P = 0.009), noncalcified plaque burden (r = 0.242, P = 0.044), and lipid plaque burden (r = 0.240, P = 0.045); however, no correlation was observed in SAP. Patients with HRP have larger EAT volume than those without HRP (169 ± 6.2 cm3 vs. 130.6 ± 5.3 cm3, P = 0.002). After adjustment by traditional risk factors and coronary artery calcium score (CACS), EAT volume was an independent risk predictor of presence of HRP (OR: 1.018 (95% CI: 1.006-1.030), P = 0.004). CONCLUSIONS With the increasing EAT volume, more dangerous plaque composition burdens increase significantly. EAT volume is a risk predictor of HRP independent of convention cardiovascular risk factors and CACS, which supports the potential impact of EAT on progression of coronary atherosclerotic plaque.
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Affiliation(s)
- Dongkai Shan
- Department of Cardiovascular Medicine, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Guanhua Dou
- Department of Cardiology, Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Junjie Yang
- Department of Cardiovascular Medicine, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xi Wang
- Department of Cardiology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jingjing Wang
- Department of Cardiology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Wei Zhang
- Department of Cardiology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Bai He
- Department of Cardiology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yuqi Liu
- Department of Cardiovascular Medicine, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yundai Chen
- Department of Cardiovascular Medicine, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yang Li
- Department of Cardiovascular Medicine, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
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12
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Seeger M, Stiel AC, Ntziachristos V. In vitro optoacoustic flow cytometry with light scattering referencing. Sci Rep 2021; 11:2181. [PMID: 33500461 PMCID: PMC7838204 DOI: 10.1038/s41598-021-81584-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/08/2021] [Indexed: 11/09/2022] Open
Abstract
Morphological and functional optoacoustic imaging is enhanced by dedicated transgene reporters, in analogy to fluorescence methods. The development of optoacoustic reporters using protein engineering and directed evolution would be accelerated by high-throughput in-flow screening for intracellular, genetically encoded, optoacoustic contrast. However, accurate characterization of such contrast is impeded because the optoacoustic signals depend on the cell's size and position in the flow chamber. We report herein an optoacoustic flow cytometer (OA-FCM) capable of precise measurement of intracellular optoacoustic signals of genetically-encoded chromoproteins in flow. The novel system records light-scattering as a reference for the detected optoacoustic signals in order to account for cell size and position, as well as excitation light flux in the focal volume, which we use to reference the detected optoacoustic signals to enhance the system's precision. The OA-FCM was calibrated using micrometer-sized particles to showcase the ability to assess in-flow objects in the size range of single-cells. We demonstrate the capabilities of our OA-FCM to identify sub-populations in a mixture of two E. coli stocks expressing different reporter-proteins with a precision of over 90%. High-throughput screening of optoacoustic labels could pave the way for identifying genetically encoded optoacoustic reporters by transferring working concepts of the fluorescence field such as directed evolution and activated cell sorting.
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Affiliation(s)
- Markus Seeger
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Neuherberg, Germany
| | - Andre C Stiel
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Neuherberg, Germany.
| | - Vasilis Ntziachristos
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Neuherberg, Germany.
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Erben A, Hörning M, Hartmann B, Becke T, Eisler SA, Southan A, Cranz S, Hayden O, Kneidinger N, Königshoff M, Lindner M, Tovar GEM, Burgstaller G, Clausen‐Schaumann H, Sudhop S, Heymann M. Precision 3D-Printed Cell Scaffolds Mimicking Native Tissue Composition and Mechanics. Adv Healthc Mater 2020; 9:e2000918. [PMID: 33025765 DOI: 10.1002/adhm.202000918] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 08/29/2020] [Indexed: 12/20/2022]
Abstract
Cellular dynamics are modeled by the 3D architecture and mechanics of the extracellular matrix (ECM) and vice versa. These bidirectional cell-ECM interactions are the basis for all vital tissues, many of which have been investigated in 2D environments over the last decades. Experimental approaches to mimic in vivo cell niches in 3D with the highest biological conformity and resolution can enable new insights into these cell-ECM interactions including proliferation, differentiation, migration, and invasion assays. Here, two-photon stereolithography is adopted to print up to mm-sized high-precision 3D cell scaffolds at micrometer resolution with defined mechanical properties from protein-based resins, such as bovine serum albumin or gelatin methacryloyl. By modifying the manufacturing process including two-pass printing or post-print crosslinking, high precision scaffolds with varying Young's moduli ranging from 7-300 kPa are printed and quantified through atomic force microscopy. The impact of varying scaffold topographies on the dynamics of colonizing cells is observed using mouse myoblast cells and a 3D-lung microtissue replica colonized with primary human lung fibroblast. This approach will allow for a systematic investigation of single-cell and tissue dynamics in response to defined mechanical and bio-molecular cues and is ultimately scalable to full organs.
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Affiliation(s)
- Amelie Erben
- Center for Applied Tissue Engineering and Regenerative Medicine Munich University of Applied Sciences Lothstr. 34 Munich 80533 Germany
- Heinz‐Nixdorf‐Chair of Biomedical Electronics, TranslaTUM, Campus Klinikum rechts der Isar Technical University of Munich Einsteinstraße 25 Munich 81675 Germany
- Center for NanoScience (CeNS) Ludwig‐Maximilians‐University Geschwister‐Scholl Platz 1 Munich 80539 Germany
| | - Marcel Hörning
- Institute of Biomaterials and Biomolecular Systems University of Stuttgart Pfaffenwaldring 57 Stuttgart 70569 Germany
| | - Bastian Hartmann
- Center for Applied Tissue Engineering and Regenerative Medicine Munich University of Applied Sciences Lothstr. 34 Munich 80533 Germany
- Center for NanoScience (CeNS) Ludwig‐Maximilians‐University Geschwister‐Scholl Platz 1 Munich 80539 Germany
| | - Tanja Becke
- Center for Applied Tissue Engineering and Regenerative Medicine Munich University of Applied Sciences Lothstr. 34 Munich 80533 Germany
- Center for NanoScience (CeNS) Ludwig‐Maximilians‐University Geschwister‐Scholl Platz 1 Munich 80539 Germany
| | - Stephan A. Eisler
- Stuttgart Research Center Systems Biology University of Stuttgart Nobelstr. 15 Stuttgart 70569 Germany
| | - Alexander Southan
- Institute of Interfacial Process Engineering and Plasma Technology IGVP University of Stuttgart Nobelstr. 12 Stuttgart 70569 Germany
| | - Séverine Cranz
- Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC‐M bioArchive, Helmholtz Zentrum München Member of the German Center for Lung Research (DZL) Max‐Lebsche‐Platz 31 Munich 81377 Germany
- Research Unit Lung Repair and Regeneration Helmholtz Zentrum München Max‐Lebsche‐Platz 31 Munich 81377 Germany
| | - Oliver Hayden
- Heinz‐Nixdorf‐Chair of Biomedical Electronics, TranslaTUM, Campus Klinikum rechts der Isar Technical University of Munich Einsteinstraße 25 Munich 81675 Germany
| | - Nikolaus Kneidinger
- Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC‐M bioArchive, Helmholtz Zentrum München Member of the German Center for Lung Research (DZL) Max‐Lebsche‐Platz 31 Munich 81377 Germany
- Department of Internal Medicine V Ludwig‐Maximillians‐University Munich Marchioninistr. 15 Munich 81377 Germany
| | - Melanie Königshoff
- Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC‐M bioArchive, Helmholtz Zentrum München Member of the German Center for Lung Research (DZL) Max‐Lebsche‐Platz 31 Munich 81377 Germany
- Research Unit Lung Repair and Regeneration Helmholtz Zentrum München Max‐Lebsche‐Platz 31 Munich 81377 Germany
- University of Colorado Department of Pulmonary Sciences and Critical Care Medicine 13001 E. 17th Pl. Aurora CO 80045 USA
| | - Michael Lindner
- Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC‐M bioArchive, Helmholtz Zentrum München Member of the German Center for Lung Research (DZL) Max‐Lebsche‐Platz 31 Munich 81377 Germany
- University Department of Visceral and Thoracic Surgery Salzburg Paracelsus Medical University Müllner Hauptstraße 48 Salzburg A‐5020 Austria
| | - Günter E. M. Tovar
- Institute of Interfacial Process Engineering and Plasma Technology IGVP University of Stuttgart Nobelstr. 12 Stuttgart 70569 Germany
| | - Gerald Burgstaller
- Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC‐M bioArchive, Helmholtz Zentrum München Member of the German Center for Lung Research (DZL) Max‐Lebsche‐Platz 31 Munich 81377 Germany
- Institute of Lung Biology and Disease (ILBD) Helmholtz Zentrum München Max‐Lebsche‐Platz 31 Munich 81377 Germany
| | - Hauke Clausen‐Schaumann
- Center for Applied Tissue Engineering and Regenerative Medicine Munich University of Applied Sciences Lothstr. 34 Munich 80533 Germany
- Center for NanoScience (CeNS) Ludwig‐Maximilians‐University Geschwister‐Scholl Platz 1 Munich 80539 Germany
| | - Stefanie Sudhop
- Center for Applied Tissue Engineering and Regenerative Medicine Munich University of Applied Sciences Lothstr. 34 Munich 80533 Germany
- Center for NanoScience (CeNS) Ludwig‐Maximilians‐University Geschwister‐Scholl Platz 1 Munich 80539 Germany
| | - Michael Heymann
- Center for NanoScience (CeNS) Ludwig‐Maximilians‐University Geschwister‐Scholl Platz 1 Munich 80539 Germany
- Institute of Biomaterials and Biomolecular Systems University of Stuttgart Pfaffenwaldring 57 Stuttgart 70569 Germany
- Department of Cellular and Molecular Biophysics MPI of Biochemistry Martinsried Am Klopferspitz 18 Planegg 82152 Germany
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Manwar R, Kratkiewicz K, Avanaki K. Overview of Ultrasound Detection Technologies for Photoacoustic Imaging. MICROMACHINES 2020; 11:E692. [PMID: 32708869 PMCID: PMC7407969 DOI: 10.3390/mi11070692] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/14/2020] [Accepted: 07/14/2020] [Indexed: 12/15/2022]
Abstract
Ultrasound detection is one of the major components of photoacoustic imaging systems. Advancement in ultrasound transducer technology has a significant impact on the translation of photoacoustic imaging to the clinic. Here, we present an overview on various ultrasound transducer technologies including conventional piezoelectric and micromachined transducers, as well as optical ultrasound detection technology. We explain the core components of each technology, their working principle, and describe their manufacturing process. We then quantitatively compare their performance when they are used in the receive mode of a photoacoustic imaging system.
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Affiliation(s)
- Rayyan Manwar
- Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA;
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA;
| | - Karl Kratkiewicz
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA;
| | - Kamran Avanaki
- Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA;
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA;
- Department of Dermatology, University of Illinois at Chicago, Chicago, IL 60607, USA
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15
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Deep Learning for Virtual Histological Staining of Bright-Field Microscopic Images of Unlabeled Carotid Artery Tissue. Mol Imaging Biol 2020; 22:1301-1309. [PMID: 32514884 PMCID: PMC7497459 DOI: 10.1007/s11307-020-01508-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
PURPOSE Histological analysis of artery tissue samples is a widely used method for diagnosis and quantification of cardiovascular diseases. However, the variable and labor-intensive tissue staining procedures hinder efficient and informative histological image analysis. PROCEDURES In this study, we developed a deep learning-based method to transfer bright-field microscopic images of unlabeled tissue sections into equivalent bright-field images of histologically stained versions of the same samples. We trained a convolutional neural network to build maps between the unstained images and histologically stained images using a conditional generative adversarial network model. RESULTS The results of a blind evaluation by board-certified pathologists illustrate that the virtual staining and standard histological staining images of rat carotid artery tissue sections and those involving different types of stains showed no major differences. Quantification of virtual and histological H&E staining in carotid artery tissue sections showed that the relative errors of intima thickness, intima area, and media area were lower than 1.6 %, 5.6 %, and 12.7 %, respectively. The training time of deep learning network was 12.857 h with 1800 training patches and 200 epoches. CONCLUSIONS This virtual staining method significantly mitigates the typically laborious and time-consuming histological staining procedures and could be augmented with other label-free microscopic imaging modalities.
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16
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Seeger M, Soliman D, Aguirre J, Diot G, Wierzbowski J, Ntziachristos V. Pushing the boundaries of optoacoustic microscopy by total impulse response characterization. Nat Commun 2020; 11:2910. [PMID: 32518250 PMCID: PMC7283257 DOI: 10.1038/s41467-020-16565-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 04/22/2020] [Indexed: 11/19/2022] Open
Abstract
Optical microscopy improves in resolution and signal-to-noise ratio by correcting for the system’s point spread function; a measure of how a point source is resolved, typically determined by imaging nanospheres. Optical-resolution optoacoustic (photoacoustic) microscopy could be similarly corrected, especially to account for the spatially-dependent signal distortions induced by the acoustic detection and the time-resolved and bi-polar nature of optoacoustic signals. Correction algorithms must therefore include the spatial dependence of signals’ origins and profiles in time, i.e. the four-dimensional total impulse response (TIR). However, such corrections have been so far impeded by a lack of efficient TIR-characterization methods. We introduce high-quality TIR determination based on spatially-distributed optoacoustic point sources (SOAPs), produced by scanning an optical focus on an axially-translatable 250 nm gold layer. Using a spatially-dependent TIR-correction improves the signal-to-noise ratio by >10 dB and the axial resolution by ~30%. This accomplishment displays a new performance paradigm for optoacoustic microscopy. Characterizing the total impulse response (TIR) of photoacoustic microscopes has been challenging due to difficulties distributing appropriate point sources. Here, the authors present a method for 3D generation of spatially-distributed optoacoustic point sources and show that subsequent TIR correction results in improved image quality.
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Affiliation(s)
- Markus Seeger
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Dominik Soliman
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Juan Aguirre
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Gael Diot
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Jakob Wierzbowski
- Walter Schottky Institute, Physics Department, Technical University of Munich, Am Coulombwall 4, 85748, Garching, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany. .,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
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17
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HISTOBREAST, a collection of brightfield microscopy images of Haematoxylin and Eosin stained breast tissue. Sci Data 2020; 7:169. [PMID: 32503988 PMCID: PMC7275059 DOI: 10.1038/s41597-020-0500-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 04/21/2020] [Indexed: 11/09/2022] Open
Abstract
Modern histopathology workflows rely on the digitization of histology slides. The quality of the resulting digital representations, in the form of histology slide image mosaics, depends on various specific acquisition conditions and on the image processing steps that underlie the generation of the final mosaic, e.g. registration and blending of the contained image tiles. We introduce HISTOBREAST, an extensive collection of brightfield microscopy images that we collected in a principled manner under different acquisition conditions on Haematoxylin - Eosin (H&E) stained breast tissue. HISTOBREAST is comprised of neighbour image tiles and ensemble of mosaics composed from different combinations of the available image tiles, exhibiting progressively degraded quality levels. HISTOBREAST can be used to benchmark image processing and computer vision techniques with respect to their robustness to image modifications specific to brightfield microscopy of H&E stained tissues. Furthermore, HISTOBREAST can serve in the development of new image processing methods, with the purpose of ensuring robustness to typical image artefacts that raise interpretation problems for expert histopathologists and affect the results of computerized image analysis.
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Seong M, Chen SL. Recent advances toward clinical applications of photoacoustic microscopy: a review. SCIENCE CHINA-LIFE SCIENCES 2020; 63:1798-1812. [DOI: 10.1007/s11427-019-1628-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 01/13/2020] [Indexed: 12/11/2022]
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19
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Zhou Y, Chen J, Liu C, Liu C, Lai P, Wang L. Single-shot linear dichroism optical-resolution photoacoustic microscopy. PHOTOACOUSTICS 2019; 16:100148. [PMID: 31871890 PMCID: PMC6909087 DOI: 10.1016/j.pacs.2019.100148] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/07/2019] [Accepted: 11/08/2019] [Indexed: 05/06/2023]
Abstract
Dichroism is a material property that causes anisotropic light-matter interactions for different optical polarizations. Dichroism relates to molecular types and material morphology and thus can be used to distinguish different dichroic tissues. In this paper, we present single-shot dichroism photoacoustic microscopy that can image tissue structure, linear dichroism, and polarization angle with a single raster scanning. We develop a fiber-based laser system to split one laser pulse into three with different polarization angles, sub-microseconds time delay, and identical pulse energy. A dual-fiber optical-resolution photoacoustic microscopy system is developed to acquire three A-lines per scanning step. In such a way, dichroism imaging can achieve the same speed as single-wavelength photoacoustic microscopy. Moreover, the three polarized pulses originate from one laser pulse, which decreases pulse energy fluctuations and reduces dichroism measurement noise by ∼35 %. The new dichroism photoacoustic imaging technique can be used to image endogenous or exogenous polarization-dependent absorption contrasts, such as dichroic tumor or molecule-labeled tissue.
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Affiliation(s)
- Yingying Zhou
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
| | - Jiangbo Chen
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
| | - Chao Liu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
| | - Chengbo Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Puxiang Lai
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong
- The Hong Kong Polytechnic University Shenzhen Research Institute, 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
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Iskander-Rizk S, van der Steen AFW, van Soest G. Photoacoustic imaging for guidance of interventions in cardiovascular medicine. Phys Med Biol 2019; 64:16TR01. [PMID: 31048573 DOI: 10.1088/1361-6560/ab1ede] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Imaging guidance is paramount to procedural success in minimally invasive interventions. Catheter-based therapies are the standard of care in the treatment of many cardiac disorders, including coronary artery disease, structural heart disease and electrophysiological conditions. Many of these diseases are caused by, or effect, a change in vasculature or cardiac tissue composition, which can potentially be detected by photoacoustic imaging. This review summarizes the state of the art in photoacoustic imaging approaches that have been proposed for intervention guidance in cardiovascular care. All of these techniques are currently in the preclinical phase. We will conclude with an outlook towards clinical applications.
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Affiliation(s)
- Sophinese Iskander-Rizk
- Department of Cardiology, Biomedical Engineering, Erasmus MC University Medical Center Rotterdam, Wytemaweg 80, 3015 CN Rotterdam, The Netherlands
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Karlas A, Fasoula NA, Paul-Yuan K, Reber J, Kallmayer M, Bozhko D, Seeger M, Eckstein HH, Wildgruber M, Ntziachristos V. Cardiovascular optoacoustics: From mice to men - A review. PHOTOACOUSTICS 2019; 14:19-30. [PMID: 31024796 PMCID: PMC6476795 DOI: 10.1016/j.pacs.2019.03.001] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 03/18/2019] [Indexed: 05/04/2023]
Abstract
Imaging has become an indispensable tool in the research and clinical management of cardiovascular disease (CVD). An array of imaging technologies is considered for CVD diagnostics and therapeutic assessment, ranging from ultrasonography, X-ray computed tomography and magnetic resonance imaging to nuclear and optical imaging methods. Each method has different operational characteristics and assesses different aspects of CVD pathophysiology; nevertheless, more information is desirable for achieving a comprehensive view of the disease. Optoacoustic (photoacoustic) imaging is an emerging modality promising to offer novel information on CVD parameters by allowing high-resolution imaging of optical contrast several centimeters deep inside tissue. Implemented with illumination at several wavelengths, multi-spectral optoacoustic tomography (MSOT) in particular, is sensitive to oxygenated and deoxygenated hemoglobin, water and lipids allowing imaging of the vasculature, tissue oxygen saturation and metabolic or inflammatory parameters. Progress with fast-tuning lasers, parallel detection and advanced image reconstruction and data-processing algorithms have recently transformed optoacoustics from a laboratory tool to a promising modality for small animal and clinical imaging. We review progress with optoacoustic CVD imaging, highlight the research and diagnostic potential and current applications and discuss the advantages, limitations and possibilities for integration into clinical routine.
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Affiliation(s)
- Angelos Karlas
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Clinic for Vascular and Endovascular Surgery, University Hospital rechts der Isar, Munich, Germany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Nikolina-Alexia Fasoula
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Korbinian Paul-Yuan
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Josefine Reber
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Michael Kallmayer
- Clinic for Vascular and Endovascular Surgery, University Hospital rechts der Isar, Munich, Germany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Dmitry Bozhko
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Markus Seeger
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Hans-Henning Eckstein
- Clinic for Vascular and Endovascular Surgery, University Hospital rechts der Isar, Munich, Germany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Moritz Wildgruber
- Institute for Diagnostic and Interventional Radiology, University Hospital rechts der Isar, Munich, Germany
- Institute for Clinical Radiology, University Hospital Muenster, Muenster, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, TranslaTUM, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
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22
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Abstract
Fuelled by innovation, optical microscopy plays a critical role in the life sciences and medicine, from basic discovery to clinical diagnostics. However, optical microscopy is limited by typical penetration depths of a few hundred micrometres for in vivo interrogations in the visible spectrum. Optoacoustic microscopy complements optical microscopy by imaging the absorption of light, but it is similarly limited by penetration depth. In this Review, we summarize progress in the development and applicability of optoacoustic mesoscopy (OPAM); that is, optoacoustic imaging with acoustic resolution and wide-bandwidth ultrasound detection. OPAM extends the capabilities of optical imaging beyond the depths accessible to optical and optoacoustic microscopy, and thus enables new applications. We explain the operational principles of OPAM, its placement as a bridge between optoacoustic microscopy and optoacoustic macroscopy, and its performance in the label-free visualization of tissue pathophysiology, such as inflammation, oxygenation, vascularization and angiogenesis. We also review emerging applications of OPAM in clinical and biological imaging.
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23
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Vigne J, Thackeray J, Essers J, Makowski M, Varasteh Z, Curaj A, Karlas A, Canet-Soulas E, Mulder W, Kiessling F, Schäfers M, Botnar R, Wildgruber M, Hyafil F. Current and Emerging Preclinical Approaches for Imaging-Based Characterization of Atherosclerosis. Mol Imaging Biol 2019; 20:869-887. [PMID: 30250990 DOI: 10.1007/s11307-018-1264-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Atherosclerotic plaques can remain quiescent for years, but become life threatening upon rupture or disruption, initiating clot formation in the vessel lumen and causing acute myocardial infarction and ischemic stroke. Whether and how a plaque ruptures is determined by its macroscopic structure and microscopic composition. Rupture-prone plaques usually consist of a thin fibrous cap with few smooth muscle cells, a large lipid core, a dense infiltrate of inflammatory cells, and neovessels. Such lesions, termed high-risk plaques, can remain asymptomatic until the thrombotic event. Various imaging technologies currently allow visualization of morphological and biological characteristics of high-risk atherosclerotic plaques. Conventional protocols are often complex and lack specificity for high-risk plaque. Conversely, new imaging approaches are emerging which may overcome these limitations. Validation of these novel imaging techniques in preclinical models of atherosclerosis is essential for effective translational to clinical practice. Imaging the vessel wall, as well as its biological milieu in small animal models, is challenging because the vessel wall is a small structure that undergoes continuous movements imposed by the cardiac cycle as it is adjacent to circulating blood. The focus of this paper is to provide a state-of-the-art review on techniques currently available for preclinical imaging of atherosclerosis in small animal models and to discuss the advantages and limitations of each approach.
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Affiliation(s)
- Jonathan Vigne
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP; INSERM, U-1148, DHU FIRE, University Diderot, Paris, France
| | - James Thackeray
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Jeroen Essers
- Departments of Vascular Surgery, Molecular Genetics, Radiation Oncology, Erasmus MC, Rotterdam, The Netherlands
| | - Marcus Makowski
- Department of Radiology, Charité-University Medicine Berlin, Berlin, Germany
| | - Zoreh Varasteh
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Adelina Curaj
- Institute for Molecular Cardiovascular Research (IMCAR), Institute for Experimental Molecular Imaging (ExMI), University Hospital Aachen, RWTH, Aachen, Germany
| | - Angelos Karlas
- Institute for Biological and Medical Imaging, Helmholtz Zentrum München, Oberschleissheim, Germany
| | - Emmanuel Canet-Soulas
- Laboratoire CarMeN, INSERM U-1060, Lyon/Hospices Civils Lyon, IHU OPERA Cardioprotection, Université de Lyon, Bron, France
| | - Willem Mulder
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, Mount Sinai, New York, USA
| | - Fabian Kiessling
- Institute for Experimental Molecular Imaging (ExMI), University Hospital Aachen, RWTH, Aachen, Germany
| | - Michael Schäfers
- Department of Nuclear Medicine, European Institute for Molecular Imaging (EIMI), Westfälische Wilhelms-Universität Münster, Münster, Germany
| | - René Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Moritz Wildgruber
- Translational Research Imaging Center, Institut für Klinische Radiologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany
| | - Fabien Hyafil
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP; INSERM, U-1148, DHU FIRE, University Diderot, Paris, France. .,Département de Médecine Nucléaire, Centre Hospitalier Universitaire Bichat, 46 rue Henri Huchard, 75018, Paris, France.
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24
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Meng L, Deschaume O, Larbanoix L, Fron E, Bartic C, Laurent S, Van der Auweraer M, Glorieux C. Photoacoustic temperature imaging based on multi-wavelength excitation. PHOTOACOUSTICS 2019; 13:33-45. [PMID: 30555785 PMCID: PMC6277227 DOI: 10.1016/j.pacs.2018.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 10/29/2018] [Accepted: 11/15/2018] [Indexed: 05/04/2023]
Abstract
Building further upon the high spatial resolution offered by ultrasonic imaging and the high optical contrast yielded by laser excitation of photoacoustic imaging, and exploiting the temperature dependence of photoacoustic signal amplitudes, this paper addresses the question whether the rich information given by multispectral optoacoustic tomography (MSOT) allows to obtain 3D temperature images. Numerical simulations and experimental results are reported on agarose phantoms containing gold nanoparticles and the effects of shadowing, reconstruction flaws, etc. on the accuracy are determined.
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Affiliation(s)
- Lei Meng
- Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D - box 2416, 3001 Leuven, Belgium
| | - Olivier Deschaume
- Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D - box 2416, 3001 Leuven, Belgium
| | - Lionel Larbanoix
- Center for Microscopy and Molecular Imaging, Rue Adrienne Bolland 8, B-6041, Gosselies, Belgium
| | - Eduard Fron
- Molecular Imaging and Photonics, Department of Chemistry, KU Leuven, Celestijnenlaan 200F - box 2404, 3001 Leuven, Belgium
| | - Carmen Bartic
- Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D - box 2416, 3001 Leuven, Belgium
| | - Sophie Laurent
- Center for Microscopy and Molecular Imaging, Rue Adrienne Bolland 8, B-6041, Gosselies, Belgium
| | - Mark Van der Auweraer
- Molecular Imaging and Photonics, Department of Chemistry, KU Leuven, Celestijnenlaan 200F - box 2404, 3001 Leuven, Belgium
| | - Christ Glorieux
- Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D - box 2416, 3001 Leuven, Belgium
- Corresponding author.
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25
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Tserevelakis GJ, Tsafas V, Melessanaki K, Zacharakis G, Filippidis G. Combined multiphoton fluorescence microscopy and photoacoustic imaging for stratigraphic analysis of paintings. OPTICS LETTERS 2019; 44:1154-1157. [PMID: 30821736 DOI: 10.1364/ol.44.001154] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 12/17/2018] [Indexed: 06/09/2023]
Abstract
We demonstrate the effective combination of multiphoton and photoacoustic (PA) imaging for the high-resolution stratigraphic analysis of multilayered art objects with emphasis on paintings. A novel convolution-based algorithm is additionally applied for the precise discrimination of nonlinear signals, providing valuable information in regard to the thickness and composition of successive varnish and paint layers in the mock-up samples. On the other hand, PA contrast complements the extracted data by revealing well-hidden graphite underdrawings below the paint at high sensitivity levels. The final composite images are directly compared with cross-sectional brightfield observations, validating the capabilities of the bimodal diagnosis in terms of measurement accuracy and contrast specificity. The presented hybrid diagnostic approach has the potential to optimize delicate interventions in works of art such as the selective removal of aged materials, thus promoting a significantly improved restoration outcome.
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26
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Poh PSP, Schmauss V, McGovern JA, Schmauss D, Chhaya MP, Foehr P, Seeger M, Ntziachristos V, Hutmacher DW, van Griensven M, Schantz JT, Balmayor ER. Non-linear optical microscopy and histological analysis of collagen, elastin and lysyl oxidase expression in breast capsular contracture. Eur J Med Res 2018; 23:30. [PMID: 29866167 PMCID: PMC5987584 DOI: 10.1186/s40001-018-0322-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 05/09/2018] [Indexed: 02/08/2023] Open
Abstract
Background Capsular contracture is one of the most common complications in surgical interventions for aesthetic breast augmentation or post-mastectomy breast reconstruction involving the use of silicone prostheses. Although the precise cause of capsular contracture is yet unknown, the leading hypothesis is that it is caused by long-term unresolved foreign body reaction towards the silicone breast implant. To authors’ best knowledge, this is the first study that elucidates the presence of lysyl oxidase (LOX)—an enzyme that is involved in collagen and elastin crosslinking within fibrous capsules harvested from patients with severe capsular contracture. It was hypothesized that over-expression of LOX plays a role in the irreversible crosslinking of collagen and elastin which, in turn, stabilizes the fibrous proteins and contributes to the progression of capsular contracture. Methods Eight fibrous capsules were collected from patients undergoing capsulectomy procedure, biomechanical testing was performed for compressive Young’s moduli and evaluated for Type I and II collagen, elastin and LOX by means of non-linear optical microscopy and immunohistology techniques. Results Observations revealed the heterogeneity of tissue structure within and among the collected fibrous capsules. Regardless of the tissue structure, it has been shown that LOX expression was intensified at the implant-to-tissue interface. Conclusion Our results indicate the involvement of LOX in the initiation of fibrous capsule formation which ultimately contributes towards the progression of capsular contracture. Electronic supplementary material The online version of this article (10.1186/s40001-018-0322-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Patrina S P Poh
- Experimental Trauma Surgery, Department of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Verena Schmauss
- Department of Plastic Surgery and Hand Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jacqui A McGovern
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Australia
| | - Daniel Schmauss
- Department of Plastic Surgery and Hand Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Mohit P Chhaya
- Department of Plastic Surgery and Hand Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Australia
| | - Peter Foehr
- Department of Orthopaedics and Sports Orthopaedics, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Markus Seeger
- Chair for Biological Imaging, Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair for Biological Imaging, Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Dietmar W Hutmacher
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Australia.,Institute for Advanced Study, Technical University of Munich, Garching, Germany
| | - Martijn van Griensven
- Experimental Trauma Surgery, Department of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jan-Thorsten Schantz
- Department of Plastic Surgery and Hand Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore
| | - Elizabeth R Balmayor
- Experimental Trauma Surgery, Department of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
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27
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Chen Z, Deán-Ben XL, Gottschalk S, Razansky D. Performance of optoacoustic and fluorescence imaging in detecting deep-seated fluorescent agents. BIOMEDICAL OPTICS EXPRESS 2018; 9:2229-2239. [PMID: 29760983 PMCID: PMC5946784 DOI: 10.1364/boe.9.002229] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 03/08/2018] [Accepted: 03/09/2018] [Indexed: 05/03/2023]
Abstract
Fluorescent contrast agents are widely employed in biomedical research. While many studies have reported deep tissue imaging of fluorescent moieties using either fluorescence-based or absorption-based (optoacoustic) imaging systems, no systematic comparison has been performed regarding the actual performance of these imaging modalities in detecting deep-seated fluorescent agents. Herein, an integrated imager combining epi-fluorescence and volumetric optoacoustic imaging capabilities has been employed in order to evaluate image degradation with depth for several commonly-used near-infrared dyes in both modes. We performed controlled experiments in tissue-mimicking phantoms containing deeply embedded targets filled with different concentrations of Alexa Fluor 700, Alexa Fluor 750, indocyanine green (ICG) and IRDye 800CW. The results are further corroborated by multi-modal imaging of ICG through mouse tissues in vivo. It is shown that optoacoustics consistently provides better sensitivity in differentiating fluorescent targets located at depths beyond 2 mm in turbid tissues, as quantified by evaluating image contrast, signal to noise ratio and spatial resolution performance.
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Affiliation(s)
- Zhenyue Chen
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Xosé Luís Deán-Ben
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Sven Gottschalk
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Daniel Razansky
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Faculty of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
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28
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Zafar H, Leahy M, Wijns W, Kolios M, Zafar J, Johnson N, Sharif F. Photoacoustic cardiovascular imaging: a new technique for imaging of atherosclerosis and vulnerable plaque detection. Biomed Phys Eng Express 2018. [DOI: 10.1088/2057-1976/aab640] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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29
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Kellnberger S, Soliman D, Tserevelakis GJ, Seeger M, Yang H, Karlas A, Prade L, Omar M, Ntziachristos V. Optoacoustic microscopy at multiple discrete frequencies. LIGHT, SCIENCE & APPLICATIONS 2018; 7:109. [PMID: 30588294 PMCID: PMC6298999 DOI: 10.1038/s41377-018-0101-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 10/30/2018] [Accepted: 11/03/2018] [Indexed: 05/11/2023]
Abstract
Optoacoustic (photoacoustic) sensing employs illumination of transient energy and is typically implemented in the time domain using nanosecond photon pulses. However, the generation of high-energy short photon pulses requires complex laser technology that imposes a low pulse repetition frequency (PRF) and limits the number of wavelengths that are concurrently available for spectral imaging. To avoid the limitations of working in the time domain, we have developed frequency-domain optoacoustic microscopy (FDOM), in which light intensity is modulated at multiple discrete frequencies. We integrated FDOM into a hybrid system with multiphoton microscopy, and we examine the relationship between image formation and modulation frequency, showcase high-fidelity images with increasing numbers of modulation frequencies from phantoms and in vivo, and identify a redundancy in optoacoustic measurements performed at multiple frequencies. We demonstrate that due to high repetition rates, FDOM achieves signal-to-noise ratios similar to those obtained by time-domain methods, using commonly available laser diodes. Moreover, we experimentally confirm various advantages of the frequency-domain implementation at discrete modulation frequencies, including concurrent illumination at two wavelengths that are carried out at different modulation frequencies as well as flow measurements in microfluidic chips and in vivo based on the optoacoustic Doppler effect. Furthermore, we discuss how FDOM redefines possibilities for optoacoustic imaging by capitalizing on the advantages of working in the frequency domain.
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Affiliation(s)
- Stephan Kellnberger
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA
| | - Dominik Soliman
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
| | - George J. Tserevelakis
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
| | - Markus Seeger
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
| | - Hong Yang
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
- Xidian University, South Taibai Road 02, 710071 Xi’an, Shaanxi China
| | - Angelos Karlas
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
| | - Ludwig Prade
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
| | - Murad Omar
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Chair of Biological Imaging (CBI) and Center for Translational Cancer Research (TranslaTUM), Technical University Munich, Einsteinstraße 25, 81675 München, Germany
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30
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Small DM, Jones JS, Tendler II, Miller PE, Ghetti A, Nishimura N. Label-free imaging of atherosclerotic plaques using third-harmonic generation microscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:214-229. [PMID: 29359098 PMCID: PMC5772576 DOI: 10.1364/boe.9.000214] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/24/2017] [Accepted: 12/02/2017] [Indexed: 05/18/2023]
Abstract
Multiphoton microscopy using laser sources in the mid-infrared range (MIR, 1,300 nm and 1,700 nm) was used to image atherosclerotic plaques from murine and human samples. Third harmonic generation (THG) from atherosclerotic plaques revealed morphological details of cellular and extracellular lipid deposits. Simultaneous nonlinear optical signals from the same laser source, including second harmonic generation and endogenous fluorescence, resulted in label-free images of various layers within the diseased vessel wall. The THG signal adds an endogenous contrast mechanism with a practical degree of specificity for atherosclerotic plaques that complements current nonlinear optical methods for the investigation of cardiovascular disease. Our use of whole-mount tissue and backward scattered epi-detection suggests THG could potentially be used in the future as a clinical tool.
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Affiliation(s)
- David M. Small
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
- Contributed equally
| | - Jason S. Jones
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
- Contributed equally
| | - Irwin I. Tendler
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
| | - Paul E. Miller
- Anabios Corporation, 3030 Bunker Hill St., San Diego, CA 92109, USA
| | - Andre Ghetti
- Anabios Corporation, 3030 Bunker Hill St., San Diego, CA 92109, USA
| | - Nozomi Nishimura
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
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31
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Roberts S, Seeger M, Jiang Y, Mishra A, Sigmund F, Stelzl A, Lauri A, Symvoulidis P, Rolbieski H, Preller M, Deán-Ben XL, Razansky D, Orschmann T, Desbordes SC, Vetschera P, Bach T, Ntziachristos V, Westmeyer GG. Calcium Sensor for Photoacoustic Imaging. J Am Chem Soc 2017; 140:2718-2721. [DOI: 10.1021/jacs.7b03064] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | - Matthias Preller
- CSSB,
22607 Hamburg and Institute for Biophysical Chemistry, Hannover Medical School, 30625 Hannover, Germany
| | | | | | | | | | | | - Thorsten Bach
- Department
Chemie, Technical University of Munich, 85747 Garching, Germany
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32
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Zhang HF, Razansky D. Special issue introduction: Photoacoustic microscopy. PHOTOACOUSTICS 2016; 4:81-82. [PMID: 27761406 PMCID: PMC5063352 DOI: 10.1016/j.pacs.2016.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 05/12/2016] [Accepted: 05/26/2016] [Indexed: 05/13/2023]
Affiliation(s)
- Hao F Zhang
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 USA, USA
| | - Daniel Razansky
- Institute for Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, 85764 Neuherberg, Germany
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