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One-Step Calibration of AFM in Liquid

机译:液体中AFM的一步校准

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摘要

Nanomechanical measurements of cells and single molecules with atomic force microscopy (AFM) require accurate calibration of two parameters: the spring constant of the cantilever (k) and the inverse of the optical lever sensitivity (InvOLS). The most established calibration approach in liquid consists in determining the InvOLS from force–distance curves on a stiff surface, k being calculated using the thermal spectrum (PSD) of the cantilever via the equipartition theorem. Recent works proposed using cantilevers with calibrated k and then determining the InvOLS from the PSD. These non-contact approaches improve the precision of nanomechanical measurements compared to conventional contact-based approaches. The Sader method or the recent global calibration initiative (GCI) are accurate approaches and do not require knowledge of the InvOLS to determine k, thus they would allow one-step calibration of AFM in liquid. However, both methods assume high quality factor cantilevers, not the case for most cantilevers in liquid. Here we assess the accuracy and precision of the Sader and GCI methods in liquid on two types of cantilevers with low Q-factor using two different PSD fitting models (SHO and Pirzer). We evaluate the two approaches using only the PSD in liquid to calibrate both k and the InvOLS. While both methods led to similar results, the GCI approach is less prone to systematic uncertainties and, using the SHO model, provides higher accuracy in k and the InvOLS. Therefore, the proposed SHO, GCI-based approach utilizing only the thermal spectrum in liquid is precise and accurate and allows one-step calibration of AFM.
机译:具有原子力显微镜(AFM)的细胞和单分子的纳米机械测量需要精确校准两个参数:悬臂(k)的弹簧常数和光学杆敏感性(涉及)的倒数。液体中最建立的校准方法在于确定涉及使用悬挂器定理使用悬臂的热谱(PSD)计算的刚性表面上的力距离曲线。利用校准K的悬臂提出的最新作品,然后用克拉特确定涉及PSD。与传统的基于接触的方法相比,这些非接触方法提高了纳米力学测量的精度。悲伤的方法或最近的全局校准计划(GCI)是准确的方法,不需要了解涉及的涉及的涉及,因此它们将允许AFM的液体中的一步校准。然而,两种方法都假设高品质因子悬臂,而不是液体中大多数悬臂的情况。在这里,我们评估了使用两种不同的PSD拟合模型(SHO和Pirzer)的低Q系数的两种类型的悬臂中麦克风和GCI方法的准确性和精度。我们仅使用液体中的PSD评估两种方法以校准K和涉及。虽然两种方法导致了类似的结果,但GCI方法不太容易发生系统的不确定性,并且使用SHO模型,在K和涉及的k和涉及的含量方面提供更高的精度。因此,所提出的SHO,仅利用液体中的热谱的基于GCI的方法是精确准确的,并且允许AFM的一步校准。

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