The Rockefeller University

Tobias Noebauer

Alipasha Vaziri

Oliver Skocek

Yuanlong Zhang

A volumetric imaging system implements obtaining raw image data of a sample volume of a sample material, the raw image data comprising light field data of the sample volume acquired using a microlens array disposed in front of a camera; and analyzing the raw image data using an image analysis pipeline configured to localize the objects of interest in the raw image data to obtain classified image data in which the objects of interest have been identified, the image analysis pipeline being configured to process the raw image data to improve signal extraction at depth in the scattering material to maximize localization accuracy.

Volumetric imaging techniques

An imaging signal extraction apparatus comprising: an interface; a processing device, the processing device operatively coupled to the interface; and a computer readable medium comprising instructions that, when executed by the processing device, perform operations comprising: a) generating a two-dimensional image from imaging information obtained from the interface, thereby estimating ballistic component of the imaging information; b) generating a three-dimensional image by remapping the two-dimensional image; c) identifying a candidate object in the three-dimensional image; d) obtaining an estimated spatial forward model of the candidate object by mapping the three-dimensional image of the candidate object with a point-spread-function associated with the imaging apparatus; e) obtaining background-corrected data by using the estimated spatial forward model of the candidate object and estimated temporal components; and f) iteratively updating the estimated spatial forward model and estimated temporal components until convergence is reached for the candidate object, thereby extracting the signal information.

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New York, NY, United States of America

Tobias Noebauer