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The near infrared (NIR) sensor is designed for the interfacial wave velocity measurement in this paper.
In this paper, we propose the novel pixel architecture of BI-CISs with IPA structure on c-Si surface plus deep trench isolations (DTI) between pixels to enhance NIR sensor sensitivity.
NIR sensor, an online prediction tool, a PAT data management tool, and a control platform have been used to close the control loop.
As practical applications, the novel NIR sensor has been demonstrated to monitor and image Hg2+ level in milk power and HeLa cells respectively with satisfactory results obtained.
In this work, powder bulk density which has a significant effect on the critical quality attributes (CQA's) has been monitored in real time in a pilot-plant facility, using a NIR sensor.
Therefore, optimal conditions such as operating distance of the NIR sensor, sample thickness and acquisition number need to be identified prior to installment of the sensor into the manufacturing plant.
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Then, fragments encoding NIR sensors were cut out with EcoRI and SalI restriction endonucleases and inserted into pcDNA3.1 plasmid (Invitrogen/Thermo Fisher Scientific).
The development of near infrared (NIR) sensors has to go through different steps of testing.
A convenient strategy that does not need the tedious modification of the π-conjugation moiety to construct near infrared (NIR) sensors is in high demand.
To capture the rich textural information of the iris pattern regardless of the eye color, traditional iris recognition systems utilize near-infrared (NIR) sensors to acquire images of the iris.
Near infrared (NIR) sensors are low cost (around 100 dollars) when compared with thermal infrared sensors (around 1000 dollars) and have a much higher resolution.
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