Optical-resolution photoacoustic microscopy for imaging blood vessels in vivo

2012 ◽  
Author(s):  
Yi Yuan
Keyword(s):  
Blood Vessels ◽  
Optical Resolution ◽  
Photoacoustic Microscopy

scholarly journals Transcranial Imaging of Functional Cerebral Hemodynamic Changes in Single Blood Vessels using in vivo Photoacoustic Microscopy

2012 ◽  
Vol 32 (6) ◽  
pp. 938-951 ◽  
Author(s):  
Lun-De Liao ◽  
Chin-Teng Lin ◽  
Yen-Yu I Shih ◽  
Timothy Q Duong ◽  
Hsin-Yi Lai ◽  
...  
Keyword(s):  
Blood Vessels ◽  
Cerebral Blood Volume ◽  
Hemoglobin Concentration ◽  
Photoacoustic Microscopy ◽  
Functional Changes ◽  
Sagittal Sinus ◽  
Microscopy Technique ◽  
Initial Dip ◽  
Transcranial Imaging

Optical imaging of changes in total hemoglobin concentration ( HbT), cerebral blood volume ( CBV), and hemoglobin oxygen saturation ( SO 2) provides a means to investigate brain hemodynamic regulation. However, high-resolution transcranial imaging remains challenging. In this study, we applied a novel functional photoacoustic microscopy technique to probe the responses of single cortical vessels to left forepaw electrical stimulation in mice with intact skulls. Functional changes in HbT, CBV, and SO 2 in the superior sagittal sinus and different-sized arterioles from the anterior cerebral artery system were bilaterally imaged with unambiguous 36 × 65- μm2 spatial resolution. In addition, an early decrease of SO 2 in single blood vessels during activation (i.e., ‘the initial dip’) was observed. Our results indicate that the initial dip occurred specifically in small arterioles of activated regions but not in large veins. This technique complements other existing imaging approaches for the investigation of the hemodynamic responses in single cerebral blood vessels.

scholarly journals Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Xingxing Chen ◽  
Weizhi Qi ◽  
Lei Xi
Keyword(s):  
Deep Learning ◽  
Optical Resolution ◽  
Motion Artifacts ◽  
Photoacoustic Microscopy ◽  
Simulation Studies ◽  
Correction Algorithm ◽  
Brain Vessels ◽  
Capillary Networks ◽  
Motion Corrections

Abstract In this study, we propose a deep-learning-based method to correct motion artifacts in optical resolution photoacoustic microscopy (OR-PAM). The method is a convolutional neural network that establishes an end-to-end map from input raw data with motion artifacts to output corrected images. First, we performed simulation studies to evaluate the feasibility and effectiveness of the proposed method. Second, we employed this method to process images of rat brain vessels with multiple motion artifacts to evaluate its performance for in vivo applications. The results demonstrate that this method works well for both large blood vessels and capillary networks. In comparison with traditional methods, the proposed method in this study can be easily modified to satisfy different scenarios of motion corrections in OR-PAM by revising the training sets.

scholarly journals Dual-Polarized Fiber Laser Sensor for Photoacoustic Microscopy

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4632 ◽  
Author(s):  
Lin ◽  
Liang ◽  
Jin ◽  
Wang
Keyword(s):  
Fiber Laser ◽  
Optical Resolution ◽  
High Sensitivity ◽  
Low Noise ◽  
Laser Sensor ◽  
Photoacoustic Microscopy ◽  
Label Free ◽  
Laser Sensors ◽  
Dual Polarized

Optical resolution photoacoustic microscopy (OR-PAM) provides high-resolution, label-free and non-invasive functional imaging for broad biomedical applications. Dual-polarized fiber laser sensors have high sensitivity, low noise, a miniature size, and excellent stability; thus, they have been used in acoustic detection in OR-PAM. Here, we review recent progress in fiber-laser-based ultrasound sensors for photoacoustic microscopy, especially the dual-polarized fiber laser sensor with high sensitivity. The principle, characterization and sensitivity optimization of this type of sensor are presented. In vivo experiments demonstrate its excellent performance in the detection of photoacoustic (PA) signals in OR-PAM. This review summarizes representative applications of fiber laser sensors in OR-PAM and discusses their further improvements.

scholarly journals Multifocal optical-resolution photoacoustic microscopy in vivo

2011 ◽  
Vol 36 (7) ◽  
pp. 1236 ◽  
Author(s):  
Liang Song ◽  
Konstantin Maslov ◽  
Lihong V. Wang
Keyword(s):  
Optical Resolution ◽  
Photoacoustic Microscopy

scholarly journals Multi-parametric quantitative microvascular imaging with optical-resolution photoacoustic microscopy in vivo

2014 ◽  
Vol 22 (2) ◽  
pp. 1500 ◽  
Author(s):  
Zhenyuan Yang ◽  
Jianhua Chen ◽  
Junjie Yao ◽  
Riqiang Lin ◽  
Jing Meng ◽  
...  
Keyword(s):  
Optical Resolution ◽  
Photoacoustic Microscopy ◽  
Microvascular Imaging

scholarly journals Integrating photoacoustic microscopy, optical coherence tomography, OCT angiography, and fluorescence microscopy for multimodal imaging

2020 ◽  
Vol 245 (4) ◽  
pp. 342-347 ◽  
Author(s):  
Arash Dadkhah ◽  
Shuliang Jiao
Keyword(s):  
Optical Coherence Tomography ◽  
Fluorescence Microscopy ◽  
Multimodal Imaging ◽  
Imaging System ◽  
Optical Resolution ◽  
Biological Tissues ◽  
Large Field ◽  
Optical Coherence ◽  
Photoacoustic Microscopy

We have developed a multimodal imaging system, which integrated optical resolution photoacoustic microscopy, optical coherence tomography, optical coherence tomography angiography, and confocal fluorescence microscopy in one platform. The system is able to image complementary features of a biological sample by combining different contrast mechanisms. We achieved fast imaging and large field of view by combining optical scanning with mechanical scanning, similar to our previous publication. We have demonstrated the capability of the multimodal imaging system by imaging a mouse ear in vivo. Impact statement Photoacoustic microscopy-based multimodal imaging technology can provide high-resolution complementary information for biological tissues in vivo. It will potentially bring significant impact on the research and diagnosis of diseases by providing combined structural and functional information.

Sign in / Sign up

Export Citation Format

Share Document