2018
DOI: 10.1016/j.bios.2018.03.053
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Determining mean corpuscular volume and red blood cell count using electrochemical collision events

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Cited by 43 publications
(32 citation statements)
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“…Nano-and microbeads of polystyrene as well as micro-droplets of organic solvents and ionic liquid were also imaged using this platform [30][31]. Ho et al report the detection of red blood cell and an estimation of their size to detect anemia related to an abnormal size (6 to 12 µm diameter) [32]. Dick et al reported the specific detection of individual virus [33].…”
Section: Applications From Biosensing To Study Of Nanobubblesmentioning
confidence: 99%
“…Nano-and microbeads of polystyrene as well as micro-droplets of organic solvents and ionic liquid were also imaged using this platform [30][31]. Ho et al report the detection of red blood cell and an estimation of their size to detect anemia related to an abnormal size (6 to 12 µm diameter) [32]. Dick et al reported the specific detection of individual virus [33].…”
Section: Applications From Biosensing To Study Of Nanobubblesmentioning
confidence: 99%
“…(iv) Determination of Mean Corpuscular Volume (MCV) Determination of MCV was carried out according to the method described by [26]. The mean corpuscular volume was calculated using the formula below…”
Section: Determination Of Haematological Parametersmentioning
confidence: 99%
“…Examples include hydrogen evolution measured at single Pt nanoparticles and clusters, [9] reduction and oxidation of single Ag nanoparticles, [10,11] H 2 O 2 oxidation measured on single IrO x nanoparticles, [12,13] single collisions of toluene-in-water emulsion droplets, [14] oxygen reduction at single enzymes, [15] or the collision of single red blood cells with an electrode surface. [16] The stochastic collision approach to single entity electrochemistry is simple to implement, high resolution, and high throughput. Over 10's of seconds the experimenter can measure 1000's of single entities, providing robust statistics while continuing to work at a single entity level.…”
Section: Introductionmentioning
confidence: 99%