scholarly journals Organic optoelectronics for lab-on-chip fluorescence detection

2017 ◽  
Vol 84 (s1) ◽  
Author(s):  
Sabrina Jahns ◽  
Andre F.K. Iwers ◽  
Jan Balke ◽  
Martina Gerken
Keyword(s):  
Fluorescence Detection ◽  
Light Emitting Diode ◽  
Light Emitting ◽  
Lab On Chip ◽  
Organic Light Emitting Diode ◽  
Photo Diode ◽  
Organic Optoelectronics ◽  
Organic Light ◽  
On Chip

AbstractWe present two designs of organic optoelectronics for compact lab-on-chip fluorescence detection. In the first configuration, organic light emitting diode (OLED) and organic photo diode (OPD) are fabricated

scholarly journals Luminance Degradation Compensation Based on Multi-Stream Self-Attention to Address Thin Film Transistor-Organic Light Emitting Diode Burn-in

2021 ◽  
Author(s):  
Seongchel Park ◽  
Kwan-Ho Park ◽  
Joon-Hyuk Chang
Keyword(s):  
Deep Learning ◽  
Learning Algorithm ◽  
Light Emitting Diode ◽  
Thin Film Transistor ◽  
Light Emitting ◽  
Organic Light Emitting Diode ◽  
Deep Learning Algorithm ◽  
Organic Light ◽  
Deep Feature ◽  
On Chip

In this study, we propose a deep learning algorithm that directly compensates for luminance degradation owing to the deterioration of organic light emitting diode (OLED) devices to address the burn-in phenomenon of OLED displays. Conventional compensation circuits are encumbered by a high cost of development and manufacturing processes owing to their complexity. However, given that deep learning algorithms are typically mounted on a system on chip (SoC), the complexity of the circuit design is reduced, and the circuit can be reused by re-learning only the changed characteristics of the new pixel device. The proposed approach comprises deep feature generation and multi-stream self-attention, which decipher the importance of the variables, and the correlation between burn-in-related variables. It also utilizes a deep neural network that identifies the nonlinear relationship between the extracted features and luminance degradation. Thereafter, the luminance degradation is estimated from the burn-in-related variables, and the burn-in phenomenon can be addressed by compensating for the luminance degradation. The experimental results revealed that compensation was successfully achieved within an error range of 2.69%, and demonstrate the potential of a new approach that can mitigate the burn-in phenomenon by directly compensating for pixel-level luminance deviation.

Characterization of an Integrated Fluorescence-Detection Hybrid Device With Photodiode and Organic Light-Emitting Diode

2006 ◽  
Vol 27 (9) ◽  
pp. 746-748 ◽  
Author(s):  
K.-S. Shin ◽  
Y.-H. Kim ◽  
K.-K. Paek ◽  
J.-H. Park ◽  
E.-G. Yang ◽  
...  
Keyword(s):  
Fluorescence Detection ◽  
Light Emitting Diode ◽  
Light Emitting ◽  
Organic Light Emitting Diode ◽  
Hybrid Device ◽  
Organic Light

Flexible Organic Light Emitting Diode (OLED) Display

2012 ◽  
Vol 132 (2) ◽  
pp. 77-80
Author(s):  
Hajime YAMAGUCHI ◽  
Kentaro MIURA ◽  
Tomomasa UEDA
Keyword(s):  
Light Emitting Diode ◽  
Light Emitting ◽  
Organic Light Emitting Diode ◽  
Organic Light ◽  
Oled Display

Effects of Nitridation Time on Top-emission Inverted Organic Light Emitting Diode

PIERS Online ◽  
2007 ◽  
Vol 3 (6) ◽  
pp. 821-824 ◽  
Author(s):  
Chien-Chang Tseng ◽  
Liang-Wen Ji ◽  
Yu Sheng Tsai ◽  
Fuh-Shyang Juang
Keyword(s):  
Light Emitting Diode ◽  
Light Emitting ◽  
Organic Light Emitting Diode ◽  
Nitridation Time ◽  
Organic Light
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