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A non-Gaussian distribution quantifies distances measured with fluorescence localization techniques.

ABSTRACT: When single-molecule fluorescence localization techniques are pushed to their lower limits in attempts to measure ever-shorter distances, measurement errors become important to understand. Here we describe the non-Gaussian distribution of measured distances that is the key to proper interpretation of distance measurements. We test it on single-molecule high-resolution colocalization data for a known distance, 10 nm, and find that it gives the correct result, whereas interpretation of the same data with a Gaussian distribution gives a result that is systematically too large.

SUBMITTER: Churchman LS

PROVIDER: S-EPMC1367071 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature

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A non-Gaussian distribution quantifies distances measured with fluorescence localization techniques.

Churchman L Stirling LS Flyvbjerg Henrik H Spudich James A JA

Biophysical journal 20051028 2

When single-molecule fluorescence localization techniques are pushed to their lower limits in attempts to measure ever-shorter distances, measurement errors become important to understand. Here we describe the non-Gaussian distribution of measured distances that is the key to proper interpretation of distance measurements. We test it on single-molecule high-resolution colocalization data for a known distance, 10 nm, and find that it gives the correct result, whereas interpretation of the same da ...[more]

PMID: 16258038

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Dataset Information

A non-Gaussian distribution quantifies distances measured with fluorescence localization techniques.

Publications

A non-Gaussian distribution quantifies distances measured with fluorescence localization techniques.

Similar Datasets

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