2022
DOI: 10.1016/j.bios.2022.114621
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Scanning electrochemical microscopy based irreversible destruction of living cells

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Cited by 6 publications
(2 citation statements)
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“…35 EIS can in-situ monitor cell damages, such as electroporation. 36 For the application of ECL imaging to living cells, the selection of suitable ECL chemicals and optimization of the measurement conditions is required. Recently, bipolar electrochemistry has been used for cell analyses, 37,38 which included the evaluation of cell adhesion.…”
Section: Resultsmentioning
confidence: 99%
“…35 EIS can in-situ monitor cell damages, such as electroporation. 36 For the application of ECL imaging to living cells, the selection of suitable ECL chemicals and optimization of the measurement conditions is required. Recently, bipolar electrochemistry has been used for cell analyses, 37,38 which included the evaluation of cell adhesion.…”
Section: Resultsmentioning
confidence: 99%
“…[ 5 ] The common methods for characterizing these parameters (e.g., fluorescence method and flow cytometry) are associated with complicated processes, characterization of only a single parameter, and labeling of target molecules which may alter the cellular state, making it challenging to capture the dynamic physiological and metabolic changes of neurons in real time. [ 6 ] Scanning electrochemical microscopy (SECM), a label‐free and noninvasive electrochemical tool capable of in situ recording various redox processes around a cell utilizing a µm or nm‐sized electrode as its probe, has been widely used in living cell studies including imaging cell morphology, [ 7 ] monitoring cell‐released chemicals, [ 8 ] regulating cell survival, [ 9 ] and inspecting cellular redox activity and metabolism. [ 10 ] The recently developed programmable‐SECM mode applying pulse potentials can further realize the multi‐target detection during a single scan, shorten the detection time of multiple analytes, and minimize the charging current influence generated by a potential switch on the Faradic current signal.…”
Section: Introductionmentioning
confidence: 99%