The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 14, 2021
Filed:
Nov. 13, 2018
Technische Universität München, Munich, DE;
Pedro A. Goméz, Munich, DE;
Miguel Molina-Romero, Munich, DE;
Axel Haase, Rimpar, DE;
Benjamin Schusser, Freising, DE;
Maximilian Aigner, Velden, DE;
Maria Laparidou, Munich, DE;
TECHNISCHE UNIVERSITÄT MÜNCHEN, Munich, DE;
Abstract
Shown herein is a method of automated noninvasive determining the fertility of a bird's egg (), comprising the following steps: conveying a plurality of bird eggs () sequentially or in parallel into an NMR apparatus (), subjecting the bird eggs () to an NMR measurement, such as to generate a-D NMR image of at least a part of each of said eggs (), said-D NMR image having a spatial resolution in at least one dimension of 1.0 mm or less, preferably of 0.50 mm or less, wherein said part of the egg () includes the germinal disc of the respective egg (), determining a prediction of the fertility according to at least one of the following two procedures: (i) deriving at least one feature from each of said-D NMR images, and employing said at least one feature in a feature-based classifier for determining a prediction of the fertility, and (ii) using a deep learning algorithm, and in particular a deep learning algorithm based on convolutional neural networks, generative adversarial networks, recurrent neural networks or long short-term memory networks.