High-speed label-free galvo mirror scanning-based ultraviolet photoacoustic microscopy for histological imaging

Author(s):  
Xiufeng Li ◽  
Lei Kang ◽  
Yan Zhang ◽  
Terence Wong
2020 ◽  
Vol 45 (19) ◽  
pp. 5401 ◽  
Author(s):  
Xiufeng Li ◽  
Lei Kang ◽  
Yan Zhang ◽  
Terence T. W. Wong

2015 ◽  
Vol 12 (5) ◽  
pp. 407-410 ◽  
Author(s):  
Junjie Yao ◽  
Lidai Wang ◽  
Joon-Mo Yang ◽  
Konstantin I Maslov ◽  
Terence T W Wong ◽  
...  

2021 ◽  
Vol 118 (8) ◽  
pp. 081104
Author(s):  
Andrew J. Bower ◽  
Carlos Renteria ◽  
Joanne Li ◽  
Marina Marjanovic ◽  
Ronit Barkalifa ◽  
...  

Author(s):  
Yinhao Pan ◽  
Ningbo Chen ◽  
Liangjian Liu ◽  
Chengbo Liu ◽  
Zhiqiang Xu ◽  
...  

AbstractPhotoacoustic microscopy is an in vivo imaging technology based on the photoacoustic effect. It is widely used in various biomedical studies because it can provide high-resolution images while being label-free, safe, and harmless to biological tissue. Polygon-scanning is an effective scanning method in photoacoustic microscopy that can realize fast imaging of biological tissue with a large field of view. However, in polygon-scanning, fluctuations of the rotating motor speed and the geometric error of the rotating mirror cause image distortions, which seriously affect the photoacoustic-microscopy imaging quality. To improve the image quality of photoacoustic microscopy using polygon-scanning, an image correction method is proposed based on accurate ultrasound positioning. In this method, the photoacoustic and ultrasound imaging data of the sample are simultaneously obtained, and the angle information of each mirror used in the polygon-scanning is extracted from the ultrasonic data to correct the photoacoustic images. Experimental results show that the proposed method can significantly reduce image distortions in photoacoustic microscopy, with the image dislocation offset decreasing from 24.774 to 10.365 μm.


2010 ◽  
Vol 35 (19) ◽  
pp. 3195 ◽  
Author(s):  
Chi Zhang ◽  
Konstantin Maslov ◽  
Lihong V. Wang

Author(s):  
Xiufeng Li ◽  
Victor T C Tsang ◽  
Lei Kang ◽  
Yan Zhang ◽  
Terence T W Wong

AbstractLaser diodes (LDs) have been considered as cost-effective and compact excitation sources to overcome the requirement of costly and bulky pulsed laser sources that are commonly used in photoacoustic microscopy (PAM). However, the spatial resolution and/or imaging speed of previously reported LD-based PAM systems have not been optimized simultaneously. In this paper, we developed a high-speed and high-resolution LD-based PAM system using a continuous wave LD, operating at a pulsed mode, with a repetition rate of 30 kHz, as an excitation source. A hybrid scanning mechanism that synchronizes a one-dimensional galvanometer mirror and a two-dimensional motorized stage is applied to achieve a fast imaging capability without signal averaging due to the high signal-to-noise ratio. By optimizing the optical system, a high lateral resolution of 4.8 μm has been achieved. In vivo microvasculature imaging of a mouse ear has been demonstrated to show the high performance of our LD-based PAM system.


2018 ◽  
Vol 114 (3) ◽  
pp. 504a-505a
Author(s):  
Mohammed Mahamdeh ◽  
Steve Simmert ◽  
Anna Łuchniak ◽  
Erik Schäffer ◽  
Jonathon Howard

2018 ◽  
Vol 9 (10) ◽  
pp. 4689 ◽  
Author(s):  
Bangxin Lan ◽  
Wei Liu ◽  
Ya-chao Wang ◽  
Junhui Shi ◽  
Yang Li ◽  
...  

Biosensors ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 130 ◽  
Author(s):  
Georgina Ross ◽  
Maria Bremer ◽  
Jan Wichers ◽  
Aart van Amerongen ◽  
Michel Nielen

Lateral Flow Immunoassays (LFIAs) allow for rapid, low-cost, screening of many biomolecules such as food allergens. Despite being classified as rapid tests, many LFIAs take 10–20 min to complete. For a really high-speed LFIA, it is necessary to assess antibody association kinetics. By using a label-free optical technique such as Surface Plasmon Resonance (SPR), it is possible to screen crude monoclonal antibody (mAb) preparations for their association rates against a target. Herein, we describe an SPR-based method for screening and selecting crude anti-hazelnut antibodies based on their relative association rates, cross reactivity and sandwich pairing capabilities, for subsequent application in a rapid ligand binding assay. Thanks to the SPR selection process, only the fast mAb (F-50-6B12) and the slow (S-50-5H9) mAb needed purification for labelling with carbon nanoparticles to exploit high-speed LFIA prototypes. The kinetics observed in SPR were reflected in LFIA, with the test line appearing within 30 s, almost two times faster when F-50-6B12 was used, compared with S-50-5H9. Additionally, the LFIAs have demonstrated their future applicability to real life samples by detecting hazelnut in the sub-ppm range in a cookie matrix. Finally, these LFIAs not only provide a qualitative result when read visually, but also generate semi-quantitative data when exploiting freely downloadable smartphone apps.


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