Paper
9 March 2015 An information-theoretic approach to designing the plane spacing for multifocal plane microscopy
Amir Tahmasbi, Sripad Ram, Jerry Chao, Anish V. Abraham, E. Sally Ward, Raimund J. Ober
Author Affiliations +
Abstract
Multifocal plane microscopy (MUM) is a 3D imaging modality which enables the localization and tracking of single molecules at high spatial and temporal resolution by simultaneously imaging distinct focal planes within the sample. MUM overcomes the depth discrimination problem of conventional microscopy and allows high accuracy localization of a single molecule in 3D along the z-axis. An important question in the design of MUM experiments concerns the appropriate number of focal planes and their spacings to achieve the best possible 3D localization accuracy along the z-axis. Ideally, it is desired to obtain a 3D localization accuracy that is uniform over a large depth and has small numerical values, which guarantee that the single molecule is continuously detectable. Here, we address this concern by developing a plane spacing design strategy based on the Fisher information. In particular, we analyze the Fisher information matrix for the 3D localization problem along the z-axis and propose spacing scenarios termed the strong coupling and the weak coupling spacings, which provide appropriate 3D localization accuracies. Using these spacing scenarios, we investigate the detectability of the single molecule along the z-axis and study the effect of changing the number of focal planes on the 3D localization accuracy. We further review a software module we recently introduced, the MUMDesignTool, that helps to design the plane spacings for a MUM setup.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amir Tahmasbi, Sripad Ram, Jerry Chao, Anish V. Abraham, E. Sally Ward, and Raimund J. Ober "An information-theoretic approach to designing the plane spacing for multifocal plane microscopy", Proc. SPIE 9330, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII, 933011 (9 March 2015); https://doi.org/10.1117/12.2076769
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Cited by 1 scholarly publication.
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KEYWORDS
Molecules

Microscopy

Photons

Particles

Sensors

3D image processing

Luminescence

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