2021
DOI: 10.1016/j.snb.2021.129599
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A novel multi-frequency trans-endothelial electrical resistance (MTEER) sensor array to monitor blood-brain barrier integrity

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Cited by 18 publications
(7 citation statements)
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“…Real-time monitoring of the BBB integrity was performed using MTEER measurement with a machine learning algorithm. Linear discriminant analysis (LDA) classifier with a forward sequential feature selection (SFS) method was used as a machine learning algorithm [Reprinted from ref . Sensors and Actuators B: Chemical , Vol.…”
Section: Single Organ-on-a-chipmentioning
confidence: 99%
“…Real-time monitoring of the BBB integrity was performed using MTEER measurement with a machine learning algorithm. Linear discriminant analysis (LDA) classifier with a forward sequential feature selection (SFS) method was used as a machine learning algorithm [Reprinted from ref . Sensors and Actuators B: Chemical , Vol.…”
Section: Single Organ-on-a-chipmentioning
confidence: 99%
“…More recently, integrated electrodes and multifrequency TEER with machine learning algorithms have been incorporated in multilayered microfluidic platform using PMMA ( Figure 1 A). 19 …”
Section: Bbb-oc Platforms For Physiological and Pathological Mimickin...mentioning
confidence: 99%
“…(A) PMMA layers in stack conformation with TEER system included. Reproduced with permission from ( 19 ). Copyright 2021 Elsevier.…”
Section: Bbb-oc Platforms For Physiological and Pathological Mimickin...mentioning
confidence: 99%
See 1 more Smart Citation
“…By combining multi-band frequency measurement techniques and machine learning algorithms, the novel TEER system successfully monitored the formation, opening, and reclosure of the BBB in a non-invasive manner. 20 The μBBB with the capability to present higher human relevance can be used to validate and improve complex enhanced BBB penetration and disease treatment strategies, such as chemotactic synthetic vesicles and RNA interference therapy, resulting in a powerful platform for brain-related disease research and drug screening. 21,22 Fig.…”
Section: Introductionmentioning
confidence: 99%