在蛋白质检测方面开辟新天地:自我监督机器学习和iSCAT能够对低于10 kDa的单个蛋白质进行无标签检测

Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN) Pub Date : 1900-01-01 DOI:10.1364/boda.2023.jw2a.3

Mahyar Dahmardeh, Houman Mirzaalian Dastjerdi, Hisham Mazal, Harald Köstler, V. Sandoghdar

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引用次数: 0

摘要

干涉散射(iSCAT)显微镜以无标签的方式检测单个纳米颗粒。利用自我监督的机器学习提高了iSCAT对非常小的蛋白质和疾病标志物(如趋化因子和细胞因子)的检测灵敏度。

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Breaking new ground in protein detection: Self-supervised machine learning and iSCAT enable label-free detection of single proteins below 10 kDa

Interferometric scattering (iSCAT) microscopy detects single nanoparticles in a label-free fashion. Utilizing self-supervised machine learning pushes the detection sensitivity of iSCAT to very small proteins and disease markers such as chemokines and cytokines.

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