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

Assessment of antigen repair and target repair progression quantitation using vibration spectroscopy

A technique of vibrational spectroscopy, spectral data, applied in the field of quantitative assessment of antigen retrieval and target retrieval progress using vibrational spectroscopy, which can solve problems such as no general methods or reagents have been identified.

Pending Publication Date: 2022-04-08
VENTANA MEDICAL SYST INC
View PDF38 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Despite extensive research in the area of ​​stain enhancement, no universal method or reagent has been identified for all subsequent immunohistochemical or immunocytochemical procedures

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
  • Assessment of antigen repair and target repair progression quantitation using vibration spectroscopy
  • Assessment of antigen repair and target repair progression quantitation using vibration spectroscopy
  • Assessment of antigen repair and target repair progression quantitation using vibration spectroscopy

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0158] Example 1 – Estimate unmasked state using trained unmasked state estimation engine

[0159] the summary of instruction

[0160] This project uses mid-infrared (mid-IR) spectroscopy to study the vibrational states of molecules in histological tissue sections. The testable hypothesis is that the vibrational state of tissue, as judged by the mid-infrared signal, will exhibit conformational changes in tissue composition that occur during antigen retrieval (AR).

[0161] A metrology has been developed that correlates changes in the mid-infrared spectrum with the antigen retrieval status of tissues. This metrology was used to examine the difference between low temperature and high temperature repairs. Mid-infrared results were confirmed by staining results showing low and high temperature antigen retrieval resulting in different staining intensities, suggesting that these treatments do not leave the tissue in an equivalent state.

[0162] In this work, changes in the m...

example 2

[0201] Example 2 – Training an Unmasked State Estimation Engine

[0202] In one embodiment, the repair status of the tissue is determined using a principal component analysis plus discriminant analysis (PCDA) algorithm. Mid-infrared spectra were collected from approximately one hundred locations throughout the tissue sample, so the average spectrum represents an average for the tissue. All spectra were atmospherically corrected to remove CO2 pollution, baseline corrected using concave rubber band correction with 10 iterations and 64 baseline points, and acquired spectra were amplitude normalized. Finally, all spectra from each tissue were averaged together. Next, use the PCDA model to classify the group to which a given spectrum belongs. The two main variables in this algorithm are the number of principal components used for classification purposes and the type of discriminant analysis (linear or quadratic). An example is shown in Figure 7A, where the first two principal ...

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

The present disclosure relates to automated systems and methods for quantitatively determining a de-masking status of a biological sample undergoing a de-masking process, such as an antigen repair process and / or a target repair process, using a trained de-masking status estimation engine. In some embodiments, the trained unmasked state estimation engine includes a machine learning algorithm based on projection to a potential structure regression model. In some embodiments, the trained unmasked state estimation engine includes a neural network.

Description

[0001] Cross references to related patent applications [0002] This application claims the benefit of the filing date of U.S. Patent Application Serial No. 62 / 892,688, filed August 28, 2019, the disclosure of which is incorporated herein by reference in its entirety. Background technique [0003] Immunohistochemical (IHC) slide staining can be used to identify proteins in cells of tissue sections and is therefore widely used to study different types of cells, such as cancer cells and immune cells in biological tissues. Therefore, IHC staining can be used to study the distribution and localization of biomarkers differentially expressed by immune cells such as T cells or B cells in cancer tissues for immune response studies. For example, tumors often contain an infiltrate of immune cells, which may prevent tumor development or promote tumor growth. [0004] In situ hybridization (ISH) can be used to determine the presence of genetic abnormalities or conditions such as specific...

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): G16B40/20G16B25/10
CPCG16B25/10G16B40/20G16H10/40G01N2201/1296G01N21/35G16B99/00
Inventor D·鲍尔D·查芬B·德沃拉克G·费雷里J·菲利普斯-波蒂略
Owner VENTANA MEDICAL SYST 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