Patents by Inventor Manuel de Jesús Sánchez Miranda

Manuel de Jesús Sánchez Miranda has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Automated quantitative restoration of bright field microscopy images
    Patent number: 10621704
    Abstract: The herein invention discloses and claims a quantitative image restoration in bright field (QRBF) method that faithfully recovers shape and enables quantify size of individual unstained samples. The QRBF method restores out-of-focus BF images of unstained samples by applying deconvolution, which enhances contrast and allows for quantitative analysis. To perform deconvolution our procedure uses a point spread function modeled from theory. Image deconvolution can be performed even from a single input image in two dimensions (2D-QRBF), and quantitative information such as size and shape of samples can be determined from restored 2D-QRBF images. Application of 2D-QRBF in a high-throughput screening process to assess shape changes in cells during hyperosmotic shock shows that the described digital restoration approach is suitable for quantitative analysis of unstained BF images in high-throughput image cytometry.
    Type: Grant
    Filed: December 13, 2017
    Date of Patent: April 14, 2020
    Assignee: Instituto Potosino de Investigación Cientifica y Tecnologica
    Inventors: Braulio Gutiérrez Medina, Manuel de Jesús Sánchez Miranda, Carmen Noemí Hernández Candia
  • AUTOMATED QUANTITATIVE RESTORATION OF BRIGHT FIELD MICROSCOPY IMAGES
    Publication number: 20190180420
    Abstract: The herein invention discloses and claims a quantitative image restoration in bright field (QRBF) method that faithfully recovers shape and enables quantify size of individual unstained samples. The QRBF method restores out-of-focus BF images of unstained samples by applying deconvolution, which enhances contrast and allows for quantitative analysis. To perform deconvolution our procedure uses a point spread function modeled from theory. Image deconvolution can be performed even from a single input image in two dimensions (2D-QRBF), and quantitative information such as size and shape of samples can be determined from restored 2D-QRBF images. Application of 2D-QRBF in a high-throughput screening process to assess shape changes in cells during hyperosmotic shock shows that the described digital restoration approach is suitable for quantitative analysis of unstained BF images in high-throughput image cytometry.
    Type: Application
    Filed: December 13, 2017
    Publication date: June 13, 2019
    Applicant: Instituto Potosino de Investigación Científica y Tecnológica A.C.
    Inventors: Braulio Gutiérrez Medina, Manuel de Jesús Sánchez Miranda, Carmen Noemí Hernández Candia