Improving single molecule force spectroscopy through automated real-time data collection and quantification of experimental conditions

Ultramicroscopy

Volumn 136, Issue , 2014, Pages 7-14

  Scholl, Zackary N ^a   Marszalek, Piotr E ^b  

^a DUKE UNIVERSITY   (United States)

^b Duke University   (United States)

Author keywords

Atomic force; Protein adsorption of surfaces; Proteins; Single molecule experiments; Single molecule microscopy; Single molecules

Indexed keywords

ALGORITHMS; ATOMIC FORCE MICROSCOPY; DATA ACQUISITION; FACE RECOGNITION; FAST FOURIER TRANSFORMS; FUNCTIONAL GROUPS; MOLECULES; PROTEINS;

ATOMIC FORCE; PROTEIN ADSORPTION; SINGLE MOLECULE; SINGLE MOLECULE EXPERIMENTS; SINGLE-MOLECULE MICROSCOPY;

AUTOMATION;

ARTICLE; ATOMIC FORCE MICROSCOPY; AUTOMATION; INFRARED SPECTROSCOPY; LEARNING ALGORITHM; MOLECULAR CLONING; PIEZOELECTRICITY; PROTEIN DOMAIN; PROTEIN FOLDING; PROTEIN PURIFICATION; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; SINGLE MOLECULE FORCE SPECTROSCOPY; SPECTROSCOPY;

ATOMIC FORCE; PROTEIN ADSORPTION OF SURFACES; PROTEINS; SINGLE MOLECULE EXPERIMENTS; SINGLE MOLECULE MICROSCOPY; SINGLE MOLECULES;

ALGORITHMS; HUMANS; MICROSCOPY, ATOMIC FORCE; NANOTECHNOLOGY; PROTEIN FOLDING; PROTEINS; SPECTRUM ANALYSIS;

EID: 84883277333     PISSN: 03043991     EISSN: 18792723     Source Type: Journal    
DOI: 10.1016/j.ultramic.2013.07.020     Document Type: Article

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