Virtual biomarkers: predicting immune status using label-free holotomography of individual human monocytes and machine learning analysis
bioRxiv (Cold Spring Harbor Laboratory)(2023)
摘要
Sepsis is an abnormally dysregulated immune response against infection in which the human immune system ranges from a hyper-inflammatory phase to an immune-suppressive phase. Current assessment methods are limiting owing to time-consuming and laborious sample preparation protocols. We propose a rapid label-free imaging-based technique to assess the immune status of individual human monocytes. High-resolution intracellular compositions of individual monocytes are quantitatively measured in terms of the three-dimensional distribution of refractive index values using holotomography, which are then analyzed using machine-learning algorithms to train for the classification into three distinct immune states: normal, hyper-inflammation, and immune suppression. The immune status prediction accuracy of the machine-learning holotomography classifier was 83.7% and 99.9% for one and six cell measurements, respectively. Our results suggested that this technique can provide a rapid deterministic method for the real-time evaluation of the immune status of an individual.
### Competing Interest Statement
M.J.L, M.S.L, and Y.P. have financial interests in Tomocube Inc., a company that commercializes holotomography instruments and is one of the sponsors of the work. The remaining authors declare no competing interests.
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关键词
virtual biomarkers,individual human monocytes,immune status,label-free
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