Dielectrophoresis-driven Single-cell Manipulation on Microelectrode Array Chips for Accurate Intercellular Interaction Study DOI Creative Commons
Mohamad Sawan, Hongyong Zhang, Pengbo Wang

et al.

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Oct. 28, 2022

Abstract Single-cell manipulation chips are considered powerful platforms to analyze intercellular interactions and cellular function at single-cell level. Although the conventional cell co-culture models could investigate communication some extent, role of a single requires further analysis. This study focuses on design fabrication platform based microelectrode array (MEA) using dielectrophoresis build precise interaction model chip. Single cells were trapped or transferred between electrodes achieve exact manipulation. Each electrode MEA chip was independently controlled, corresponding electrophysiology be recorded. Multiple influencing factors, including diameter depth microwells, geometry cells, voltage amplitude control signal, investigated determine optimal condition for Two typical types 293T neural used test influence electric field cells. Meanwhile, morphology continuously monitored under microscope. The inappropriate use examined oncosis phenomenon. obtained preliminary results extended nature growing controllable level, satisfying expectation introducing more elaborated models.

Language: Английский

Platinum Wire-embedded Culturing Device for Interior Recording from Lollipop-shaped Neural Spheroids DOI Creative Commons
Hongyong Zhang, Nan Huang, Sumin Bian

et al.

Cyborg and Bionic Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Three-dimensional (3D) neural cultures are increasingly recognized for their complexity and resemblance to in vivo microenvironments. In this paper, we present a novel 3D cell culturing noninvasive characterization technique of spheroids. Based on embedded platinum wires, the cultured cells lollipop-shaped spheroids where axons extended integrated around wires. Electrical microstimulation enhanced connectivity between demonstrated signal propagation among them. The resultant axonal elongation facilitated formation robust tracts interconnecting Variation cells' density allows adjust spheroid's diameter, identifying 1 million as good number spheroid formation. Recordings activities reveal higher-quality measurement from interior compared those obtained exterior cells. Viability assays confirmed efficacy proposed sustained growth over 1-month period. holds potential applications various fields, such development brain organoids, which enables real-time interconnection sensing environment conditions.

Language: Английский

Citations

2
Challenges and perspectives of multi-virus biosensing techniques: A review DOI Open Access
Yuqiao Zheng, Xixi Song, Zina Fredj

et al.

Analytica Chimica Acta, Journal Year: 2023, Volume and Issue: 1244, P. 340860 - 340860

Published: Jan. 23, 2023

Language: Английский

Citations

33
New Technologies for Monitoring and Upscaling Marine Ecosystem Restoration in Deep-Sea Environments DOI Creative Commons
Jacopo Aguzzi, Laurenz Thomsen,

Sascha Flögel

et al.

Engineering, Journal Year: 2024, Volume and Issue: 34, P. 195 - 211

Published: Jan. 19, 2024

The United Nations (UN)'s call for a decade of "ecosystem restoration" was prompted by the need to address extensive impact anthropogenic activities on natural ecosystems. Marine ecosystem restoration is increasingly necessary due increasing habitat loss in deep waters (> 200 m depth). At these depths, which are far beyond those accessible divers, only established and emerging robotic platforms such as remotely operated vehicles (ROVs), autonomous underwater (AUVs), landers, crawlers can operate through manipulators their multiparametric sensor technologies (e.g., optoacoustic imaging, omics, environmental probes). use advanced deep-sea provide: ① high-resolution three-dimensional (3D) imaging acoustic mapping substrates key taxa; ② physical manipulation ③ real-time supervision remote operations long-term ecological monitoring; ④ potential work autonomously. Here, we describe how with situ capabilities payloads innovative sensors could autonomously conduct active monitoring across large spatial scales. We expect that devices will be particularly useful habitats, reef-building cold-water corals, soft-bottom bamboo fishery resources have already been damaged offshore industries (i.e., fishing oil/gas).

Language: Английский

Citations

14
A Semi-Automated MEA Spike sorting (SAMS) method for high throughput assessment of cultured neurons DOI Open Access
Xiaoxuan Ren, Carissa L. Sirois, Raymond Doudlah

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 9, 2025

Abstract Neurons derived from human pluripotent stem cells (hPSCs) are valuable models for studying brain development and developing therapies disorders. Evaluating human-derived neurons requires assessing their electrical activity, which can be achieved using multi-electrode arrays (MEAs) extracellular recordings. Because each electrode channel generally detects activity multiple neurons, resolving the of single a process called spike sorting. However, currently available sorting methods not optimized analysis hPSC-derived require complex workflows time-consuming manual intervention. Here, we introduce S emi- A utomated M EA pike software (SAMS) designed specifically low-density MEA recordings cultured neurons. SAMS outperforms commercially automated algorithms in terms accuracy greatly reduces computational processing time. By providing an accessible, efficient, integrated platform sorting, enhances resolution utility disease modeling drug Highlights is high throughput more efficient accurate compared to recommended spike-sorting software. resolves phenotypic differences previously observed without open-source

Language: Английский

Citations

0
Miniaturized multispectral imaging for microfluidic pH sensing DOI Creative Commons

Yushan Meng,

Dechuan Sun,

Bryce Widdicombe

et al.

Sensing and Bio-Sensing Research, Journal Year: 2025, Volume and Issue: unknown, P. 100764 - 100764

Published: Feb. 1, 2025

Citations

0
Recent Progress and Perspectives on Neural Chip Platforms Integrating PDMS-Based Microfluidic Devices and Microelectrode Arrays DOI Creative Commons
Shihong Xu, Yaoyao Liu, Yan Yang

et al.

Micromachines, Journal Year: 2023, Volume and Issue: 14(4), P. 709 - 709

Published: March 23, 2023

Recent years have witnessed a spurt of progress in the application encoding and decoding neural activities to drug screening, diseases diagnosis, brain-computer interactions. To overcome constraints complexity brain ethical considerations vivo research, chip platforms integrating microfluidic devices microelectrode arrays been raised, which can not only customize growth paths for neurons vitro but also monitor modulate specialized networks grown on chips. Therefore, this article reviews developmental history arrays. First, we review design advanced devices. After, introduce fabrication process platforms. Finally, highlight recent type platform as research tool field science neuroscience, focusing neuropharmacology, neurological diseases, simplified models. This is detailed comprehensive work aims fulfill following three goals: (1) summarize latest patterns schemes such platforms, providing reference development other new platforms; (2) generalize several important applications neurology, will attract attention scientists field; (3) propose direction

Language: Английский

Citations

10
Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives DOI Open Access
Amiya Kumar Tripathy, Akshata Y. Patne, Subhra Mohapatra

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(22), P. 12368 - 12368

Published: Nov. 18, 2024

Nanotechnology and machine learning (ML) are rapidly emerging fields with numerous real-world applications in medicine, materials science, computer engineering, data processing. ML enhances nanotechnology by facilitating the processing of dataset nanomaterial synthesis, characterization, optimization nanoscale properties. Conversely, improves speed efficiency computing power, which is crucial for algorithms. Although capabilities still their infancy, a review research literature provides insights into exciting frontiers these suggests that integration can be transformative. Future directions include developing tools manipulating nanomaterials ensuring ethical unbiased collection models. This emphasizes importance coevolution technologies mutual reinforcement to advance scientific societal goals.

Language: Английский

Citations

2
Single neurons on microelectrode array chip: manipulation and analyses DOI Creative Commons
Hongyong Zhang, Pengbo Wang, Nan Huang

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2023, Volume and Issue: 11

Published: Sept. 27, 2023

Chips-based platforms intended for single-cell manipulation are considered powerful tools to analyze intercellular interactions and cellular functions. Although the conventional cell co-culture models could investigate communication some extent, role of a single requires further analysis. In this study, precise interaction model was built using microelectrode array [microelectrode (MEA)]-based dielectrophoresis-driven chip. The integrated platform enabled cells, which were either trapped on or transferred between electrodes. Each electrode controlled independently record corresponding electrophysiology. Multiple parameters explored their effects including diameter depth microwells, geometry voltage amplitude control signal. Under optimized microenvironment, chip evaluated 293T neural cells influence electric field cells. An examination inappropriate use fields revealed occurrence oncosis. end electrophysiology neurons network neurons, both differentiated from human induced pluripotent stem (iPSC), recorded compared demonstrate functionality obtained preliminary results extended nature growing controllable level, satisfying expectation introducing more elaborated models.

Language: Английский

Citations

4
Electroconductive Polymer-Based Biosensors for Early Cancer Detection via Liquid Biopsy: Advances, Challenges, and Future Prospects DOI
Babak Mikaeeli Kangarshahi, Soheil Sojdeh, Hossein Daneshgar

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118062 - 118062

Published: Nov. 1, 2024

Language: Английский

Citations

1
Microfabrication and lab-on-a-chip devices promote in vitro modeling of neural interfaces for neuroscience researches and preclinical applications DOI
Yang Liu, Xiangyun Yao, Cunyi Fan

et al.

Biofabrication, Journal Year: 2023, Volume and Issue: 16(1), P. 012002 - 012002

Published: Oct. 13, 2023

Abstract Neural tissues react to injuries through the orchestration of cellular reprogramming, generating specialized cells and activating gene expression that helps with tissue remodeling homeostasis. Simplified biomimetic models are encouraged amplify physiological morphological changes during neural regeneration at molecular levels. Recent years have witnessed growing interest in lab-on-a-chip technologies for fabrication interfaces. system-on-a-chip devices promising vitro microphysiological platforms replicate key structural functional characteristics tissues. Microfluidics microelectrode arrays two fundamental techniques leveraged address need microfabricated devices. In this review, we explore innovative fabrication, mechano-physiological parameters, spatiotemporal control cell cultures chip-based neurogenesis. Although high variability different constructs, restriction experimental analytical access limit real-life applications models, gained considerable translatability modeling neuropathies, drug screening personalized therapy.

Language: Английский

Citations

3