2015
DOI: 10.1038/srep11817
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Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs

Abstract: Current preclinical screening methods do not adequately detect cardiotoxicity. Using human induced pluripotent stem cell-derived cardiomyocytes (iPS-CMs), more physiologically relevant preclinical or patient-specific screening to detect potential cardiotoxic effects of drug candidates may be possible. However, one of the persistent challenges for developing a high-throughput drug screening platform using iPS-CMs is the need to develop a simple and reliable method to measure key electrophysiological and contrac… Show more

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Cited by 44 publications
(43 citation statements)
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“…In contrast to MTF or DMFM assays, these methods provide surrogate metrics of contractile cell shortening instead of quantifying contractile forces. One option to achieve this goal is to determine cell deformations by optical flow analysis of microscopy bright field image sequences of beating cells [91, 92]. The resulting data are further analyzed by principal component analysis [11] or by semi-automated identification of beating centers [12] in order to derive metrics of contractile cell shortening.…”
Section: Quantifying Contractilitymentioning
confidence: 99%
“…In contrast to MTF or DMFM assays, these methods provide surrogate metrics of contractile cell shortening instead of quantifying contractile forces. One option to achieve this goal is to determine cell deformations by optical flow analysis of microscopy bright field image sequences of beating cells [91, 92]. The resulting data are further analyzed by principal component analysis [11] or by semi-automated identification of beating centers [12] in order to derive metrics of contractile cell shortening.…”
Section: Quantifying Contractilitymentioning
confidence: 99%
“…The agent thus discovers the appropriate behaviour using some ‘reward’ criteria to handle the decision-making function (policy). Currently, reinforcement learning is being used for medical image analytics,36 disease screening37 and personalised prescription selection 38. One particularly exciting example of reinforcement learning was then this method was used to select the optimal sequence of medications in non-small cell lung cancer 39.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, no external stimulation or measurement tools are necessary and the tissue remains undisturbed in the process. Other commercially available or open source programs 46,47 capable of measuring cardiac contraction and outputting the waveform would also be suitable for this application.…”
Section: Introductionmentioning
confidence: 99%