Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Analyzing digital holographic microscopy data for hematology applications

A digital holographic microscopy, hematology technology, applied in the analysis of materials, image analysis, image data processing and other directions, can solve problems such as lack of accuracy, cell size and shape limitations, etc.

Active Publication Date: 2017-02-22
SIEMENS HEALTHCARE DIAGNOSTICS INC
View PDF7 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Thus, while these techniques can analyze cells based on information such as intensity, their accuracy is limited by lack of knowledge of the size and shape of the cells

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Analyzing digital holographic microscopy data for hematology applications
  • Analyzing digital holographic microscopy data for hematology applications
  • Analyzing digital holographic microscopy data for hematology applications

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The following disclosure describes the invention in terms of several embodiments directed to methods, systems and devices related to analyzing digital holographic microscopy (DHM) for hematology and other clinical applications. Briefly, the techniques discussed herein include three principle ideas that can be applied in different configurations in the various embodiments described herein. First, in some embodiments, red blood cell (RBC) volume estimation is performed using parametric modeling of red blood cells to regularize the raw DHM data to match the physical model of RBCs, in an attempt to eliminate any distortion. Second, in certain embodiments, label-free differentiation of white blood cells (WBCs) captured by the DHM is performed using a machine learning algorithm Collection of training sample DHM images of granulocytes, basophils, lymphocytes, eosinophils) to extract characteristic topological changes. The machine learning algorithm then automatically classif...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method for analyzing digital holographic microscopy (DHM) data for hematology applications includes receiving a plurality of DHM images acquired using a digital holographic microscopy system. One or more connected components are identified in each of the plurality of DHM images and one or more training white blood cell images are generated from the one or more connected components. A classifier is trained to identify a plurality of white blood cell types using the one or more training white blood cell images. The classifier may be applied to a new white blood cell image to determine a plurality of probability values, each respective probability value corresponding to one of the plurality of white blood cell types. The new white blood cell image and the plurality of probability values may then be presented in a graphical user interface.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of US Provisional Application Serial No. 62 / 012,636, filed June 16, 2014, which is hereby incorporated by reference in its entirety. technical field [0003] The present disclosure generally relates to analytical digital holographic microscopy (DHM) for hematology applications. The various systems, methods, and devices described herein may find application in, for example, red blood cell (RBC) volume measurement and white blood cell (WBC) differential (cell type classification) applications. Background technique [0004] Digital holographic microscopy (DHM) (also known as interferometric phase microscopy) is an imaging technique that provides the ability to quantitatively track subnanometer-scale optical thickness changes in transparent samples. Unlike traditional digital microscopy, where only intensity (amplitude) information about the sample is captured, DHM captures both phase a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01N15/14G06V10/764
CPCG01N2015/1006G06V20/698G06F18/241G01N15/1433G03H1/0443G01N33/49G06V10/764G06V20/69G06F18/2411G01N2015/016G06T7/136G03H2001/005G06T7/0012G06T2207/30104
Inventor N.埃尔-泽希里孙善辉B.乔治斯库L.拉迪克A.卡门
Owner SIEMENS HEALTHCARE DIAGNOSTICS INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com