On-Chip Capacitance Sensing for Cell Monitoring Applications

2007 ◽  
Vol 7 (3) ◽  
pp. 440-447 ◽  
Author(s):  
Somashekar Bangalore Prakash ◽  
Pamela Abshire
Keyword(s):  
Monitoring Applications ◽  
Cell Monitoring ◽  
On Chip

scholarly journals Digital Petri Dish for On-chip Cell Monitoring

2012 ◽  
Author(s):  
Guoan Zheng ◽  
Seung Ah Lee ◽  
Xiaoze Ou ◽  
Changhuei Yang
Keyword(s):  
Petri Dish ◽  
Cell Monitoring ◽  
On Chip

scholarly journals Methods and applications of label-free cell-based systems

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Joachim Wiest
Keyword(s):  
Environmental Monitoring ◽  
Morphological Changes ◽  
Free Cell ◽  
Living Cells ◽  
Label Free ◽  
Controlled System ◽  
Chip Technology ◽  
Cell Monitoring ◽  
A Cell ◽  
On Chip

Label-free monitoring of living cells is used in various applications such as drug development, toxicology, regenerative medicine or environmental monitoring. The most prominent methods for monitoring the extracellular acidification, oxygen consumption, electrophysiological activity and morphological changes of living cells are described. Furthermore, the intelligent mobile lab (IMOLA) – a computer controlled system integrating cell monitoring and automated cell cultivation – is described as an example of a cell-based system for microphysiometry. Results from experiments in the field of environmental monitoring using algae are presented. An outlook toward the development of an organ-on-chip technology is given.

Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture

2021 ◽  
Vol 11 (4) ◽  
pp. 39
Author(s):  
Amine Saddik ◽  
Rachid Latif ◽  
Abdelhafid El Ouardi
Keyword(s):  
Precision Agriculture ◽  
Agricultural Fields ◽  
Vegetation Monitoring ◽  
Computing Power ◽  
Monitoring Applications ◽  
Aerial Vehicle ◽  
On Chip ◽  
The Right ◽  
Power And Energy ◽  
Monitoring Algorithm

Today’s on-chip systems technology has grounded impressive advances in computing power and energy consumption. The choice of the right architecture depends on the application. In our case, we were studying vegetation monitoring algorithms in precision agriculture. This study presents a system based on a monitoring algorithm for agricultural fields, an electronic architecture based on a CPU-FPGA SoC system and the OpenCL parallel programming paradigm. We focused our study on our own dataset of agricultural fields to validate the results. The fields studied in our case are in the Guelmin-Oued noun region in the south of Morocco. These fields are divided into two areas, with a total surface of 3.44 Ha2 for the first field and 3.73 Ha2 for the second. The images were collected using a DJI-type unmanned aerial vehicle and an RGB camera. Performance evaluation showed that the system could process up to 86 fps versus 12 fps or 20 fps in C/C++ and OpenMP implementations, respectively. Software optimizations have increased the performance to 107 fps, which meets real-time constraints.

Chip-scale Microscopy for On-chip Cell Monitoring

2012 ◽  
Vol 18 (S2) ◽  
pp. 1220-1221
Author(s):  
G. Zheng ◽  
S.A. Lee ◽  
X. Ou ◽  
Y. Antebi ◽  
M.B. Elowitz ◽  
...  
Keyword(s):  
Cell Monitoring ◽  
On Chip

Extended abstract of a paper presented at Microscopy and Microanalysis 2012 in Phoenix, Arizona, USA, July 29 – August 2, 2012.

scholarly journals QSAR modeling of the toxicity classification of superparamagnetic iron oxide nanoparticles (SPIONs) in stem-cell monitoring applications: an integrated study from data curation to model development

RSC Advances ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 5385-5391 ◽  
Author(s):  
Marianna I. Kotzabasaki ◽  
Iason Sotiropoulos ◽  
Haralambos Sarimveis
Keyword(s):  
Stem Cell ◽  
Iron Oxide ◽  
Iron Oxide Nanoparticles ◽  
Model Development ◽  
Superparamagnetic Iron Oxide ◽  
Superparamagnetic Iron Oxide Nanoparticles ◽  
Oxide Nanoparticles ◽  
Qsar Modeling ◽  
Monitoring Applications ◽  
Cell Monitoring

Development of a novel QSAR model for the prediction of toxicity of superparamagnetic iron oxide nanoparticles (SPIONs) in stem-cell monitoring applications.

scholarly journals Theoretical Investigation of Responsivity/NEP Trade-off in NIR Graphene/Semiconductor Schottky Photodetectors Operating at Room Temperature

2021 ◽  
Vol 11 (8) ◽  
pp. 3398
Author(s):  
Teresa Crisci ◽  
Luigi Moretti ◽  
Maurizio Casalino
Keyword(s):  
Room Temperature ◽  
Schottky Barrier Height ◽  
Near Infrared ◽  
Analytical Formula ◽  
Reverse Voltage ◽  
Trade Off ◽  
Lab On Chip ◽  
Power Monitoring ◽  
Monitoring Applications ◽  
On Chip

In this work we theoretically investigate the responsivity/noise equivalent power (NEP) trade-off in graphene/semiconductor Schottky photodetectors (PDs) operating in the near-infrared regime and working at room temperature. Our analysis shows that the responsivity/NEP ratio is strongly dependent on the Schottky barrier height (SBH) of the junction, and we derive a closed analytical formula for maximizing it. In addition, we theoretically discuss how the SBH is related to the reverse voltage applied to the junction in order to show how these devices could be optimized in practice for different semiconductors. We found that graphene/n-silicon (Si) Schottky PDs could be optimized at 1550 nm, showing a responsivity and NEP of 133 mA/W and 500 fW/Hz, respectively, with a low reverse bias of only 0.66 V. Moreover, we show that graphene/n-germanium (Ge) Schottky PDs optimized in terms of responsivity/NEP ratio could be employed at 2000 nm with a responsivity and NEP of 233 mA/W and 31 pW/Hz, respectively. We believe that our insights are of great importance in the field of silicon photonics for the realization of Si-based PDs to be employed in power monitoring, lab-on-chip and environment monitoring applications.

scholarly journals Methods and applications of label-free cell-based systems

2016 ◽  
Vol 1 ◽  
Author(s):  
Joachim Wiest
Keyword(s):  
Environmental Monitoring ◽  
Morphological Changes ◽  
Free Cell ◽  
Living Cells ◽  
Label Free ◽  
Controlled System ◽  
Chip Technology ◽  
Cell Monitoring ◽  
A Cell ◽  
On Chip

Label-free monitoring of living cells is used in various applications such as drug development, toxicology, regenerative medicine or environmental monitoring. The most prominent methods for monitoring the extracellular acidification, oxygen consumption, electrophysiological activity and morphological changes of living cells are described. Furthermore, the intelligent mobile lab (IMOLA) – a computer controlled system integrating cell monitoring and automated cell cultivation – is described as an example of a cell-based system for microphysiometry. Results from experiments in the field of environmental monitoring using algae are presented. An outlook toward the development of an organ-on-chip technology is given.

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