18519282. Method and apparatus for determining a signal composition of signal series from an image series simplified abstract (Carl Zeiss Microscopy GmbH)
Contents
- 1 Method and apparatus for determining a signal composition of signal series from an image series
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Method and apparatus for determining a signal composition of signal series from an image series - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
Method and apparatus for determining a signal composition of signal series from an image series
Organization Name
Inventor(s)
Daniel Haase of Zoellnitz (DE)
Ralf Wolleschensky of Jena (DE)
Method and apparatus for determining a signal composition of signal series from an image series - A simplified explanation of the abstract
This abstract first appeared for US patent application 18519282 titled 'Method and apparatus for determining a signal composition of signal series from an image series
Simplified Explanation
The patent application describes a method for determining the signal composition of signal series in an image series with an analyte data evaluation system. The image series is created by marking analytes with markers in multiple coloring rounds and capturing the markers with a camera. The camera takes an image of the image series in each coloring round, with the markers selected to create colored and uncolored signals in the signal series of analytes across the image series. Different analyte types are identified based on specific sequences of colored and uncolored signals.
- Method for determining signal composition of signal series in an image series with an analyte data evaluation system
- Image series generated by marking analytes with markers in multiple coloring rounds and detecting markers with a camera
- Camera captures images in each coloring round, markers selected to create colored and uncolored signals in signal series
- Different analyte types identified based on specific sequences of colored and uncolored signals
Potential Applications
This technology could be applied in medical diagnostics, biological research, and pharmaceutical development for analyzing and identifying different types of analytes in samples.
Problems Solved
This technology solves the problem of efficiently and accurately determining the composition of signal series in an image series, particularly in the context of analyzing multiple analyte types with specific sequences of colored and uncolored signals.
Benefits
The benefits of this technology include improved accuracy in identifying different analyte types, increased efficiency in signal composition analysis, and potential for automation in data evaluation processes.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced diagnostic tools for healthcare providers, research institutions, and pharmaceutical companies.
Possible Prior Art
One possible prior art could be related to existing methods for analyzing signal compositions in image series, such as image processing algorithms and data evaluation systems used in medical imaging and biological research.
Unanswered Questions
How does this method compare to existing technologies for signal composition analysis in image series?
This article does not provide a direct comparison to existing technologies or methods for signal composition analysis in image series. Further research or a comparative study would be needed to determine the advantages and limitations of this method compared to others.
What are the potential limitations or challenges in implementing this technology in real-world applications?
The article does not address potential limitations or challenges in implementing this technology in real-world applications. Factors such as cost, scalability, and compatibility with existing systems could impact the adoption and effectiveness of this method. Further investigation and testing would be necessary to assess these aspects.
Original Abstract Submitted
Method for determining a signal composition of signal series of an image series with an analyte data evaluation system, wherein the image series is generated by marking analytes with markers in a plurality of coloring rounds and detecting the markers with a camera, the camera acquires an image of the image series in each coloring round, the markers being selected in such a way that the signal series of analytes in an image area across the image series comprise colored and uncolored signals, and that the signal series of different analyte types each have a specific sequence of colored signals and uncolored signals, and the different analyte types can be identified based on the specific sequences, comprising: receiving the signal series; importing a codebook, wherein the codebook comprises a target series for all signal components and the target series comprise analyte target series.
