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Superresolution metrology methods based on singular distributions and deep learning

A single, light-distributing technique used in computing, measuring devices, employing optical devices, etc.

Pending Publication Date: 2020-05-12
BIOAXIAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The limitation of this method is the time burden and information destruction required in image reconstruction

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  • Superresolution metrology methods based on singular distributions and deep learning
  • Superresolution metrology methods based on singular distributions and deep learning
  • Superresolution metrology methods based on singular distributions and deep learning

Examples

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[0151] A first embodiment of a method for measuring shape parameters is presented: measuring the position and size of a point object in two dimensions. This is one of the most common cases in the measurement of biological objects. Furthermore, it can be extended, comparatively, to measure the position and thickness of wires, another common task in the measurement of biological objects.

[0152] Assuming a circular emissive object (such as Figure 2C shown) with a radius of R, located at the origin, and a uniform density of fluorophores, denoted as n D , and assuming N E =n D πR 2 is the total number of emitting fluorophores, providing an optical system, such as that detailed in the Sirat '185 patent, adapted to move the position of the vortex, given as (v,0) with high precision in the plane. In the polar coordinate notation "(m,n)" used herein, m refers to the radius vector in the specified transverse plane relative to the z-axis, and n refers to the predetermined axis ( ...

Embodiment

[0210] One embodiment of the invention can be illustrated by the following example; this example is for illustration only and is not intended to represent the experimental situation tested. Assume that the luminous object is a biological object, and that, for illustration, the biological object is the same influenza A virus (IAV), as Figure 2A shown; the virus is known to have a typical size of 80-120 nm and is also known to be spherical in most cases, but can also be filamentous in some cases. "Filamentous Influenza Viruses" by Badham et al., Current clinical microbiology reports, Vol. 3, pp. 155-61 (2016) (incorporated herein by reference) states that "in human clinical infections, the biological importance of IAV forms is very interested parties". It is assumed that the IAV virus is uniformly labeled with some sufficient fluorescent protein in all its volumes. Viruses can be described using several models; viruses are described as being modeled as ellipses ( Figure 2D ...

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Abstract

Methods for determining a value of an intrinsic geometrical parameter of a geometrical feature characterizing a physical object, and for classifying a scene into at least one geometrical shape, each geometrical shape modeling a luminous object. A singular light distribution characterized by a first wavelength and a position of singularity is projected onto the physical object. Light excited by thesingular light distribution that has interacted with the geometrical feature and that impinges upon a detector is detected and a return energy distribution is identified and quantified at one or morepositions. A deep learning or neural network layer may be employed, using the detected light as direct input of the neural network layer, adapted to classify the scene, as a plurality of shapes, static or dynamic, the shapes being part of a set of shapes predetermined or acquired by learning.

Description

[0001] related application [0002] This application claims priority to two U.S. Provisional Applications Serial Nos. 62 / 551,906 and 62 / 551,913, filed August 30, 2017, both of which are incorporated herein by reference. technical field [0003] The present invention relates to methods and apparatus for optical measurement of geometric features using machine, representation, and deep learning methods, and more particularly to methods and apparatus for optical measurement using projected single light distributions. Background technique [0004] Metrology is the field of measurement technology. Measurements based on fluorescence, multiphoton imaging, Raman scattering, light transmission, reflection or light scattering are practically limited in resolution to the limit stated by Ernst Abbe in 1873. The Abbe limit arises due to diffraction by the defined aperture of the optical system used to illuminate or collect light from the sample, as described below. [0005] Some biologi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/46G06K9/52G06K9/62G06V10/141G06V10/143G06V10/42G06V10/60G06V10/70
CPCG06V20/69G06V10/141G06V10/143G06V10/454G06V10/60G06V10/42G06V10/82G06V10/70G06F18/00G01B11/02G01B11/2408G06F18/24
Inventor 加布里埃尔·Y·西拉
Owner BIOAXIAL