Integrating photoacoustic microscopy with other imaging technologies for multimodal imaging

Dadkhah, Arash; Jiao, Shuliang

doi:10.1177/1535370220977176

Cited by 6 publications

(4 citation statements)

References 43 publications

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“…Aiming at the delivery of complementary contrast in biological tissues, several studies have demonstrated the development of multimodal instruments, effectively combining time-domain (TD) PA microscopy with well-established optical diagnostic techniques such as confocal fluorescence microscopy, multiphoton imaging and optical coherence tomography (OCT) [34]. It is worth mentioning that these hybrid imaging developments have found various significant applications, including the sensitive detection of capillary blood vessels in mice [35][36][37][38], the delineation of ocular anatomy [39][40][41], the investigation of zebrafish larvae [42,43], the measurement of melanin content in fish scales [44] as well as the spatial mapping of pigments in vegetative tissues [45].…”

Section: Discussionmentioning

confidence: 99%

Hybrid Fluorescence and Frequency-Domain Photoacoustic Microscopy for Imaging Development of Parhyale hawaiensis Embryos

et al. 2023

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Parhyale hawaiensis is a marine crustacean which has emerged as a powerful model organism to study molecular and cellular mechanisms linked to embryonic development and regenerative processes. Recently, several fluorescence-based optical microscopy techniques have been employed for the study of Parhyale to obtain anatomical descriptions, analyze gene expression patterns and reconstruct cell lineages. Aiming at the expansion of the imaging repertoire for this emerging model organism, we introduce a low-cost hybrid diagnostic system which integrates confocal fluorescence and frequency domain photoacoustic (FDPA) microscopy modalities, concurrently capturing both the radiative and radiationless relaxations of molecules following their excitation by an intensity-modulated laser source. We initially characterize the hybrid microscope in terms of PA signal generation efficiency and lateral spatial resolution, and subsequently evaluate its capabilities for the in vivo imaging of unlabelled and fluorescently labelled Parhyale embryos found at different stages of development. The recorded hybrid images have revealed a remarkable contrast complementarity between the integrated imaging modes, providing valuable information regarding cells’ structure, nuclei location, cellular membranes and yolk distribution. Our findings may pave the way for the broader adoption of inexpensive hybrid optical and PA microscopy methods in developmental biology, significantly upgrading the capabilities of the currently used technologies.

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Section: Discussionmentioning

confidence: 99%

Hybrid Fluorescence and Frequency-Domain Photoacoustic Microscopy for Imaging Development of Parhyale hawaiensis Embryos

et al. 2023

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“…Further studies to develop a deep learning–based method for fully automatic segmentation and registration are needed, for example, between OA/MRI or OA/CT brain imaging data and for position-dependent light fluence correction hold great promise ( Sarah et al, 2019 ; Waterhouse et al, 2019 ; Ni et al, 2020a ; Dean-Ben et al, 2020 ; Hu et al, 2021 ). Additionally, bimodal animal holder ( Gehrung et al, 2020 ; Zhang et al, 2021b ) or concurrent imaging acquisition OA tomography–MRI, OA–fluorescence confocal microscopy, and OA tomography–fluorescence imaging have already been developed ( Chen et al, 2017 ; Zhang et al, 2018b ; Liu et al, 2019b ; Ren et al, 2021 ; Zhang et al, 2021c ; Dadkhah and Jiao, 2021 ; Deán-Ben et al, 2021 ). Further development in synchronized OA-MR platforms for small-animal brain imaging for simultaneous detection will further improve the workflow ( Ren et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Multimodal Contrast Agents for Optoacoustic Brain Imaging in Small Animals

Shi

Kong

et al. 2021

Front. Bioeng. Biotechnol.

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Optoacoustic (photoacoustic) imaging has demonstrated versatile applications in biomedical research, visualizing the disease pathophysiology and monitoring the treatment effect in an animal model, as well as toward applications in the clinical setting. Given the complex disease mechanism, multimodal imaging provides important etiological insights with different molecular, structural, and functional readouts in vivo. Various multimodal optoacoustic molecular imaging approaches have been applied in preclinical brain imaging studies, including optoacoustic/fluorescence imaging, optoacoustic imaging/magnetic resonance imaging (MRI), optoacoustic imaging/MRI/Raman, optoacoustic imaging/positron emission tomography, and optoacoustic/computed tomography. There is a rapid development in molecular imaging contrast agents employing a multimodal imaging strategy for pathological targets involved in brain diseases. Many chemical dyes for optoacoustic imaging have fluorescence properties and have been applied in hybrid optoacoustic/fluorescence imaging. Nanoparticles are widely used as hybrid contrast agents for their capability to incorporate different imaging components, tunable spectrum, and photostability. In this review, we summarize contrast agents including chemical dyes and nanoparticles applied in multimodal optoacoustic brain imaging integrated with other modalities in small animals, and provide outlook for further research.

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“…Photoacoustic imaging (PAI) has shown great potential in providing detailed views of human anatomy [1][2][3][4][5]. Photoacoustic imaging technology enables high-resolution imaging of human tissues by delivering pulsed laser beams.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Realizes Photoacoustic Imaging Artifact Removal

He,

Chen,

Jiang

et al. 2024

Applied Sciences

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Photoacoustic imaging integrates the strengths of optics and ultrasound, offering high resolution, depth penetration, and multimodal imaging capabilities. Practical considerations with instrumentation and geometry limit the number of available acoustic sensors and their “view” of the imaging target, which result in image reconstruction artifacts degrading image quality. To address this problem, YOLOv8-Pix2Pix is proposed as a hybrid artifact-removal algorithm, which is advantageous in comprehensively eliminating various types of artifacts and effectively restoring image details compared to existing algorithms. The proposed algorithm demonstrates superior performance in artifact removal and segmentation of photoacoustic images of brain tumors. For the purpose of further expanding its application fields and aligning with actual clinical needs, an experimental system for photoacoustic detection is designed in this paper to be verified. The experimental results show that the processed images are better than the pre-processed images in terms of reconstruction metrics PSNR and SSIM, and also the segmentation performance is significantly improved, which provides an effective solution for the further development of photoacoustic imaging technology.

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Integrating photoacoustic microscopy with other imaging technologies for multimodal imaging

Cited by 6 publications

References 43 publications

Hybrid Fluorescence and Frequency-Domain Photoacoustic Microscopy for Imaging Development of Parhyale hawaiensis Embryos

Hybrid Fluorescence and Frequency-Domain Photoacoustic Microscopy for Imaging Development of Parhyale hawaiensis Embryos

Multimodal Contrast Agents for Optoacoustic Brain Imaging in Small Animals

Deep Learning Realizes Photoacoustic Imaging Artifact Removal

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