A novel Raman spectrum detection system based on an integrated optical biosensor

Author(s):  
Yang Li ◽  
Haolan Zhao ◽  
Roel G. Baets ◽  
Jian-Jun He
2016 ◽  
Vol 45 (11) ◽  
pp. 1103001
Author(s):  
姚齐峰 Yao Qifeng ◽  
王 帅 Wang Shuai ◽  
夏嘉斌 Xia Jiabing ◽  
张 雯 Zhang Wen ◽  
祝连庆 Zhu Lianqing

2016 ◽  
Vol 45 (11) ◽  
pp. 1103001
Author(s):  
姚齐峰 Yao Qifeng ◽  
王 帅 Wang Shuai ◽  
夏嘉斌 Xia Jiabing ◽  
张 雯 Zhang Wen ◽  
祝连庆 Zhu Lianqing

2016 ◽  
Vol 53 (7) ◽  
pp. 070401
Author(s):  
赵俊 Zhao Jun ◽  
左都罗 Zuo Duluo ◽  
王新兵 Wang Xinbing

2018 ◽  
Vol 47 (4) ◽  
pp. 418004
Author(s):  
王 帅 Wang Shuai ◽  
夏嘉斌 Xia Jiabin ◽  
姚齐峰 Yao Qifeng ◽  
董明利 Dong Mingli ◽  
祝连庆 Zhu Lianqing

2001 ◽  
Vol 49 (9) ◽  
pp. 1067-1071 ◽  
Author(s):  
Klaus Hermann Wiedorn ◽  
Torsten Goldmann ◽  
Christof Henne ◽  
Heike Kühl ◽  
Ekkehard Vollmer

Seventy paraffin-embedded cervical biopsy specimens and condylomata were tested for the presence of human papillomavirus (HPV) by conventional in situ hybridization (ISH) and ISH with subsequent signal amplification. Signal amplification was performed either by a commercial biotinyl-tyramide-based detection system [GenPoint (GP)] or by the novel two-layer dextran polymer visualization system EnVision+ (EV), in which both EV–horseradish peroxidase (EV–HRP) and EV–alkaline phosphatase (EV–AP) were applied. We could demonstrate for the first time, that EV in combination with preceding ISH results in a considerable increase in signal intensity and sensitivity without loss of specificity compared to conventional ISH. Compared to GP, EV revealed a somewhat lower sensitivity, as measured by determination of the integrated optical density (IOD) of the positively stained cells. However, EV is easier to perform, requires a shorter assay time, and does not raise the background problems that may be encountered with biotinyl–tyramide-based amplification systems. (J Histochem Cytochem 49:1067–1071, 2001)


Author(s):  
Georg Pucker ◽  
Alina Samusenko ◽  
Mher Ghulinyan ◽  
Laura Pasquardini ◽  
Tatevik Chalyan ◽  
...  

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