Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging

Zhang, Hao F.; Maslov, Konstantin; Stoica, George; Wang, Lihong V.

doi:10.1038/nbt1220

Cited by 1,685 publications

(1,364 citation statements)

References 16 publications

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“…LA-PAT has been demonstrated to detect and quantify CTC clusters. In addition, photoacoustic imaging can measure other important biological parameters, including tumor depth, the oxygen saturation of hemoglobin, metabolic rate, and tumor stiffness [26][27][28][29] , all of which are closely related to metastasis [30][31][32] . With the capability to detect and quantify CTC clusters and the potential to provide multidimensional information on tumor metastasis, LA-PAT is a promising tool for both preclinical cancer metastasis study and clinical tumor therapy.…”

Section: Discussionmentioning

confidence: 99%

Linear-array-based photoacoustic tomography for label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters

Hai

Zhou

Zhang

et al. 2017

Photons Plus Ultrasound: Imaging and Sensing 2017

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Circulating tumor cell (CTC) clusters arise from multicellular grouping in the primary tumor and elevate the metastatic potential by 23 to 50 fold compared to single CTCs. High throughout detection and quantification of CTC clusters is critical for understanding the tumor metastasis process and improving cancer therapy. In this work, we report a lineararray-based photoacoustic tomography (LA-PAT) system capable of label-free high-throughput CTC cluster detection and quantification in vivo. LA-PAT detects CTC clusters and quantifies the number of cells in them based on the contrast-to-noise ratios (CNRs) of photoacoustic signals. The feasibility of LA-PAT was first demonstrated by imaging CTC clusters ex vivo. LA-PAT detected CTC clusters in the blood-filled microtubes and computed the number of cells in the clusters. The size distribution of the CTC clusters measured by LA-PAT agreed well with that obtained by optical microscopy. We demonstrated the ability of LA-PAT to detect and quantify CTC clusters in vivo by imaging injected CTC clusters in rat tail veins. LA-PAT detected CTC clusters immediately after injection as well as when they were circulating in the rat bloodstreams. Similarly, the numbers of cells in the clusters were computed based on the CNRs of the photoacoustic signals. The data showed that larger CTC clusters disappear faster than the smaller ones. The results prove the potential of LA-PAT as a promising tool for both preclinical tumor metastasis studies and clinical cancer therapy evaluation.

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Section: Discussionmentioning

confidence: 99%

Linear-array-based photoacoustic tomography for label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters

Hai

Zhou

Zhang

et al. 2017

Photons Plus Ultrasound: Imaging and Sensing 2017

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“…Photo-acoustic imaging is an increasingly popular 3D imaging technique used to capture subcutaneous blood vessels [31]. As seen in Fig.…”

Section: Resultsmentioning

confidence: 99%

Interactive skeletonization of intensity volumes

Abeysinghe

2009

Vis Comput

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We present an interactive approach for identifying skeletons (i.e. centerlines) in intensity volumes, such as those produced by biomedical imaging. While skeletons are very useful for a range of image analysis tasks, it is extremely difficult to obtain skeletons with correct connectivity and shape from noisy inputs using automatic skeletonization methods. In this paper we explore how easy-to-supply user inputs, such as simple mouse clicking and scribbling, can guide the creation of satisfactory skeletons. Our contributions include formulating the task of drawing 3D centerlines given 2D user inputs as a constrained optimization problem, solving this problem on a discrete graph using a shortest-path algorithm, building a graphical interface for interactive skeletonization and testing it on a range of biomedical data.

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“…Analogous to computed tomography, circular-scanning photoacoustic tomography (PAT) has been used for non-invasively visualizing small animal brains [8], including application to functional brain imaging [9]. More recently, Maslov et al [10] and Zhang et al [11] have demonstrated exquisite images of subcutaneous microvasculature using dark-field confocal photoacoustic microscopy (PAM), a raster-scanning-based reflection geometry imaging system. Unique to photoacoustic methods is the ability to image blood oxygen saturation as well as concentration of total hemoglobin [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Maslov et al [10] and Zhang et al [11] have demonstrated exquisite images of subcutaneous microvasculature using dark-field confocal photoacoustic microscopy (PAM), a raster-scanning-based reflection geometry imaging system. Unique to photoacoustic methods is the ability to image blood oxygen saturation as well as concentration of total hemoglobin [11][12][13]. Emerging photoacoustic methods are enabling molecular imaging in small animals, including imaging of gene expression [14] and cell receptors [15].…”

Section: Introductionmentioning

confidence: 99%

Realtime photoacoustic microscopy in vivo with a 30-MHz ultrasound array transducer

Zemp¹,

Liu²,

Bitton³

et al. 2008

Opt. Express

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Abstract:We present a novel high-frequency photoacoustic microscopy system capable of imaging the microvasculature of living subjects in realtime to depths of a few mm. The system consists of a high-repetitionrate Q-switched pump laser, a tunable dye laser, a 30-MHz linear ultrasound array transducer, a multichannel high-frequency data acquisition system, and a shared-RAM multi-core-processor computer. Data acquisition, beamforming, scan conversion, and display are implemented in realtime at 50 frames per second. Clearly resolvable images of 6-μm-diameter carbon fibers are experimentally demonstrated at 80 μm separation distances. Realtime imaging performance is demonstrated on phantoms and in vivo with absorbing structures identified to depths of 2.5-3 mm. This work represents the first high-frequency realtime photoacoustic imaging system to our knowledge.

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Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging

Cited by 1,685 publications

References 16 publications

Linear-array-based photoacoustic tomography for label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters

Linear-array-based photoacoustic tomography for label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters

Interactive skeletonization of intensity volumes

Realtime photoacoustic microscopy in vivo with a 30-MHz ultrasound array transducer

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