Cyclops opening-up fiber for real-time fluorescence sensing

2012 ◽  
Author(s):  
Yi Yang ◽  
Guanjun Wang ◽  
Jian Cui
Keyword(s):  
Real Time ◽  
Fluorescence Sensing ◽  
Opening Up

Exposed-core microstructured fibres for real-time fluorescence sensing

2009 ◽  
Author(s):  
Stephen C. Warren-Smith ◽  
Heike Ebendorff-Heidepriem ◽  
Tze Cheung Foo ◽  
Roger Moore ◽  
Claire Davis ◽  
...  
Keyword(s):  
Real Time ◽  
Fluorescence Sensing

An unprecedented oxidised julolidine-BODIPY conjugate and its application in real-time ratiometric fluorescence sensing of sulfite

2019 ◽  
Vol 17 (31) ◽  
pp. 7360-7368 ◽  
Author(s):  
D. Sirbu ◽  
L. Zeng ◽  
P. G. Waddell ◽  
A. C. Benniston
Keyword(s):  
Real Time ◽  
White Light ◽  
Ratiometric Fluorescence ◽  
Fluorescence Sensing ◽  
Quaternary Nitrogen ◽  
Ratiometric Fluorescence Sensing

Reaction of a julolidine-based BODIPY compound with silver(i) ions in the presence of white light produced the oxidised julolidine version (OXJUL) containing a quaternary nitrogen.

scholarly journals Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback

2018 ◽  
Author(s):  
Nina Omejc ◽  
Bojan Rojc ◽  
Piero Paolo Battaglini ◽  
Uros Marusic
Keyword(s):  
Real Time ◽  
Feedback Loop ◽  
Eeg Signal ◽  
Slow Cortical Potentials ◽  
Brain Functioning ◽  
Neuropsychological Disorders ◽  
Research Designs ◽  
Eeg Neurofeedback ◽  
The Individual ◽  
Opening Up

Electroencephalographic neurofeedback (EEG-NFB) represents a broadly used method that involves a real-time EEG signal measurement, immediate data processing with the extraction of the parameter(s) of interest, and feedback to the individual in a real-time. Using such a feedback loop, the individual may gain better control over the neurophysiological parameters, by inducing changes in brain functioning and, consequently, behavior. It is used as a complementary treatment for a variety of neuropsychological disorders and improvement of cognitive capabilities, creativity or relaxation in healthy subjects. In this review, various types of EEG-NFB training are described, including training of slow cortical potentials (SCPs) and frequency and coherence training, with their main results and potential limitations. Furthermore, some general concerns about EEG-NFB methodology are presented, which still need to be addressed by the NFB community. Due to the heterogeneity of research designs in EEG-NFB protocols, clear conclusions on the effectiveness of this method are difficult to draw. Despite that, there seems to be a well-defined path for the EEG-NFB research in the future, opening up possibilities for improvement.

scholarly journals Real-Time WebRTC based Mobile Surveillance System

2021 ◽  
Vol 11 (3) ◽  
Author(s):  
Alistair Baretto ◽  
Noel Pudussery ◽  
Veerasai Subramaniam ◽  
Amroz Siddiqui
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Deep Neural Networks ◽  
Ease Of Use ◽  
Problem Statement ◽  
Wide Range ◽  
Technological Growth ◽  
Computationally Intensive ◽  
Processing Techniques ◽  
Opening Up

The rapid growth that has taken place in Computer Vision has been instrumental in driving the advancement of Image processing techniques and drawing inferences from them. Combined with the enormous capabilities that Deep Neural networks bring to the table, computers can be efficiently trained to automate the tasks and yield accurate and robust results quickly thus optimizing the process. Technological growth has enabled us to bring such computationally intensive tasks to lighter and lower-end mobile devices thus opening up a wide range of possibilities. WebRTC-the open-source web standard enables us to send multimedia-based data from peer to peer paving the way for Real-time Communication over the Web. With this project, we aim to build on one such opportunity that can enable us to perform custom object detection through an android based application installed on our mobile phones. Therefore, our problem statement is to be able to capture real-time feeds, perform custom object detection, generate inference results, and appropriately send intruder alerts when needed. To implement this, we propose a mobile-based over-the-cloud solution that can capitalize on the enormous and encouraging features of the YOLO algorithm and incorporate the functionalities of OpenCV’s DNN module for providing us with fast and correct inferences. Coupled with a good and intuitive UI, we can ensure ease of use of our application.

scholarly journals Real-time, continuous, fluorescence sensing in a freely-moving subject with an implanted hybrid VCSEL/CMOS biosensor

2013 ◽  
Vol 4 (8) ◽  
pp. 1332 ◽  
Author(s):  
Thomas D. O’Sullivan ◽  
Roxana T. Heitz ◽  
Natesh Parashurama ◽  
David B. Barkin ◽  
Bruce A. Wooley ◽  
...  
Keyword(s):  
Real Time ◽  
Fluorescence Sensing ◽  
Freely Moving

scholarly journals Real-time fluorescence sensing of single photoactive proteins using silver nanowires

2020 ◽  
Vol 8 (4) ◽  
pp. 045004
Author(s):  
Karolina Sulowska ◽  
Kamil Wiwatowski ◽  
Maciej Ćwierzona ◽  
Joanna Niedziółka-Jönsson ◽  
Sebastian Maćkowski
Keyword(s):  
Real Time ◽  
Silver Nanowires ◽  
Fluorescence Sensing

On-board smartphone micromotor-based fluorescence assays

Lab on a Chip ◽  
2022 ◽  
Author(s):  
Kaisong Yuan ◽  
Victor de la Asunción-Nadal ◽  
Carmen Cuntín Abal ◽  
Beatriz Jurado Sánchez ◽  
Alberto Escarpa
Keyword(s):  
Real Time ◽  
Portable Device ◽  
Fluorescence Sensing ◽  
3D Printed ◽  
Fluorescence Assays

Herein, we describe the design of a portable device integrating micromotors for real-time fluorescence sensing of (bio)markers. The system compromises a universal 3D printed platform to hold a commercial smartphone,...

scholarly journals Wave propagation control in active acoustic metamaterials

2021 ◽  
Vol 2015 (1) ◽  
pp. 012031
Author(s):  
A. Bacigalupo ◽  
M. L. De Bellis ◽  
G. Gnecco ◽  
D. Misseroni
Keyword(s):  
Wave Propagation ◽  
Real Time ◽  
High Performance ◽  
Electrical Circuit ◽  
Acoustic Properties ◽  
Acoustic Metamaterials ◽  
Piezoelectric Phase ◽  
Active Acoustic Metamaterials ◽  
Opening Up

Abstract Focus is on the design of an innovative class of tunable periodic metamaterials, conceived for the realization of high performance acoustic metafilters with settable real-time capabilities. In this framework the tunability is due to the presence of a piezoelectric phase shunted by a suitable electrical circuit with adjustable impedance/admittance. It follows that the acoustic properties of the metamaterial can be properly modified in an adaptive way, opening up new possibilities for the control of pass- and stop-bands.

scholarly journals Data Derivatives

2011 ◽  
Vol 28 (6) ◽  
pp. 24-43 ◽  
Author(s):  
Louise Amoore
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Association Rules ◽  
Association Rule ◽  
Security Measure ◽  
Financial Derivative ◽  
Flight Route ◽  
Opening Up

In a quiet London office, a software designer muses on the algorithms that will make possible the risk flags to be visualized on the screens of border guards from Heathrow to St Pancras International. There is, he says, ‘real time decision making’ – to detain, to deport, to secondarily question or search – but there is also the ‘offline team who run the analytics and work out the best set of rules’. Writing the code that will decide the association rules between items of data, prosaic and mundane – flight route, payment type, passport – the analysts derive a novel preemptive security measure. This paper proposes the analytic of the data derivative – a visualized risk flag or score drawn from an amalgam of disaggregated fragments of data, inferred from across the gaps between data and projected onto an array of uncertain futures. In contrast to disciplinary and enclosed techniques of collecting data to govern population, the data derivative functions via ‘differential curves of normality’, imagining a range of potential futures through the association rule, thus ‘opening up to let things happen’ ( Foucault 2007 ). In some senses akin to the risk orientation of the financial derivative, itself indifferent to actual underlying people, places or events by virtue of modulated norms, the contemporary security derivative is not centred on who we are, nor even on what our data say about us, but on what can be imagined and inferred about who we might be – on our very proclivities and potentialities.

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