Parallelized Wireless Sensing System for Continuous Monitoring of Microtissue Spheroids

Dong, Lei; Ravaynia, Paolo S.; Huang, Qing‐An; Hierlemann, Andreas; Modena, Mario M.

doi:10.1021/acssensors.0c00481

Cited by 13 publications

(18 citation statements)

References 28 publications

(44 reference statements)

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“…The working principle of a parallel mode of signal measurement is shown in Fig. 2 [1], [20]. The acquisition apparatus controls all the acquisition units to collect signals at the same time in the parallel mode.…”

Section: ) Principle Of the Parallel Modementioning

confidence: 99%

“…On this basis, we have compared the data acquisition error by comparing the results of (10), (13), and (18) for the serial, parallel, and parallelserial modes, and obtained the results as follows. e 1y (t) >> e 2y (t)  e 3y (t) (20) When the distance between sensors and the acquisition apparatus is less than 1,020 m by (20), the total output error of the parallel-serial mode is equivalent to that of the parallel mode, but far less than the serial mode. Therefore, the parallel-serial mode could effectively reduce the system output error.…”

Section: ) Working Principles Of the Parallel-serial Modementioning

confidence: 99%

“…Therefore, acquiring data from the embedded sensors in dikes still serves as a main method of dike monitoring, and the monitoring system controlled by a computer still comprises the main technology in dike monitoring. Major modes of signal measurement in data acquisition include the serial ( [17], [18]), parallel ( [19], [20]) and distributed ( [21], [22]), etc. The serial mode has found more applications such as in river dikes ( [23], [24]), sea dikes ( [25], [26]) and road dikes ( [27], [28]).…”

Section: Introductionmentioning

confidence: 99%

“…For instance, a parallel hardware structure is proposed to accelerate periodic / frequency measurement [19]. Numerous parallel wireless sensing systems are adopted to continuously monitor the size variation of the microtissue spheroids [20]. The parallel mode has high efficiency in signal acquisition and good prospects of application.…”

Section: Introductionmentioning

confidence: 99%

“…However, there is a large amount of wiring, resulting in a limited level of accuracy [23]. The parallel mode has a high level of efficiency in terms of signal acquisition, but relatively few monitoring parameters and a complex structure [19], [20]. Nevertheless, currently, there is neither a parallel mode of signal measurement in dike monitoring, nor a combination of serial and parallel modes.…”

Section: Introductionmentioning

confidence: 99%

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Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Shen

Wang³

2020

IEEE Access

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In the traditional system of dike monitoring, the acquisition apparatus is usually adopted with lots of built-in multiple data acquisition units. Each sensor is connected to the acquisition unit by wire, leading to the intensive use of wires. As a result, it is easy to cause inter-wire interference and signal distortion, compromising the accuracy and efficiency of dike monitoring. We have described and demonstrated a novel mode of signal acquisition that involved the integrated use of digital communication and human-computer interaction, and developed a separable online system of dike monitoring. Specifically, a parallel mode was adopted between the acquisition apparatus and the acquisition units; a serial mode was adopted between the acquisition unit and sensors; and a human-computer interface was used to control the monitoring process. Our research findings have shown that the parallel-serial mode not only proves to have a higher level of precision and efficiency than the serial mode, but also a simpler structure than the parallel mode alone under the same conditions. The acquisition unit adopting the parallel-serial mode could be separated from the acquisition apparatus and set up at nearby monitoring sites. This mode helps avoid such problems as massive amount of wiring as well as severe attenuation and interference of sensor signals in the serial mode, and is thus suitable for the linear dike monitoring. The parallel-serial mode has been successfully applied to the dike monitoring of the Yangtze River, and can also be used for scattered, linear, regional, and wide-range monitoring of engineering projects.

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Section: ) Principle Of the Parallel Modementioning

confidence: 99%

Section: ) Working Principles Of the Parallel-serial Modementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Shen

Wang³

2020

IEEE Access

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Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception

Chen

Wang

et al. 2023

Adv Elect Materials

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between systems and objects. [1][2][3][4][5] Sensor arrays have been demonstrated to realize high-sensitivity haptic position sensing, [6] objects recognition, [7] force direction detection, [8,9] modulus measurement, [10] texture recognition, [11] and other comprehensive multisensory functions. [3,12,13] However, when numerous sensors are implemented in the human body or installed on machines with complex actions, power supplies and signal lines become intractable obstacles. [14,15] To solve this issue, passive and wireless radiofrequency (RF) resonant sensors, have received considerable attention as promising candidates for hard-to-wire scenarios. [16][17][18][19][20] These sensors can be flexibly mounted on the moving part or inside the sealing equipment because they use RF electromagnetic waves to exchange energy and signals directly, eliminating the need of wiring and batteries. Examples include the wind-pressure probes on the propellers, [18] noninvasive detection inside the pipelines, [21,22] and the longendurance monitoring of air chambers and tire pressure. [23,24] Moreover, the combination of RF technology and soft materials can build a bridge from the human body to machines, such applications involve nanowire contact lenses for intraocular pressure monitoring, [17] arterial-pulse sensors for bloodflow monitoring, [16] and biodegradable implanted devices for intracranial pressure measurement. [25,26] Although wireless RF sensing technology has demonstrated considerable application potential, the array construction of RF tactile sensors still faces several challenges. In typical sensor array based on split-ring resonator (SRR) arrays [27][28][29] or compact inductor-capacitor (LC) arrays, [30][31][32] sensor units are required to operate at various frequencies. According to the existing methods, different inductance geometries need to be constructed for this purpose, which requires a complex micromachining process owing to the limited device area. Simultaneously, different inductances result in an irregular and incalculable mutual inductance between neighbors, which causes clutter interference while reading. Moreover, the shift of the resonant peak in the scatter spectrum is typically read as a response to the applied pressure. A common drawback is that the frequency sensor array needs to provide an independent operating frequency range for each sensitive Intelligent soft robotics and wearable electronics require flexible, wireless radio frequency (RF) pressure sensors for human-like tactile perception of their moving parts. Existing devices face two challenges for array extension: the construction of sensitive units over a limited area and the handling of resonant peaks overlapping within the channel width. Herein, a simply adjustable RF-resonator-based tactile array (RFTA) is reported, in which the initial frequency of each resonator unit is regulated by doping polydimethylsiloxane (PDMS) dielectric layers with various concentrations of multiwalled carbon nanotubes (MWCNTs). An array is constructed usi...

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Wireless Microfluidic Sensor for Metal Ion Detection in Water

Liang

Zhang

et al. 2021

ACS Omega

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In the present work, a wireless microfluidic sensor based on low-temperature cofired ceramic (LTCC) technology for real-time detection of metal ions in water is proposed. The wireless sensor is composed of a planar spiral inductor and parallel plate capacitor (LC) resonant antenna, which integrates with the microchannel in the LTCC substrate between the capacitor plates. Aqueous solutions of Pb(NO 3 ) 2 , Cd(NO 3 ) 2 , Mg(NO 3 ) 2 , Ca(NO 3 ) 2 , NaNO 3 , and KNO 3 with concentrations of 0–100 mM were tested with the sensors. The metal ion and its concentration in water can be tested by the amplitude of the reflection coefficient ( S 11 ) and the resonance frequency ( f r ) of the wireless microfluidic sensor. The metal ion species can be distinguished from the wireless response behavior of the sensor. The detection limit of the sensor for the selected metal ionic solutions could reach as low as 5 μM. The normalized sensitivity of the sensor is 0.47%, which is higher than that of the reported liquid microfluidic sensors based on microwave resonators. The wireless microfluidic sensor of this study is promising for rapid and convenient detection of heavy metal ion pollutants in the industrial wastewater.

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Parallelized Wireless Sensing System for Continuous Monitoring of Microtissue Spheroids

Cited by 13 publications

References 28 publications

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception

Wireless Microfluidic Sensor for Metal Ion Detection in Water

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