18519272. Method for identifying analytes in an image series simplified abstract (Carl Zeiss Microscopy GmbH)
Contents
- 1 Method for identifying analytes in an image series
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Method for identifying analytes in 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 Unanswered Questions
- 1.11 Original Abstract Submitted
Method for identifying analytes in an image series
Organization Name
Inventor(s)
Daniel Haase of Zoellnitz (DE)
Method for identifying analytes in an image series - A simplified explanation of the abstract
This abstract first appeared for US patent application 18519272 titled 'Method for identifying analytes in an image series
Simplified Explanation
The method described in the patent application involves identifying analytes in an image series by marking the analytes with markers in multiple coloring rounds and detecting the markers using a camera. The markers produce colored signals and uncolored signals in the image area over the image series, which are then extracted and filtered to identify characteristic ratios and signatures.
- The method involves marking analytes with markers in multiple coloring rounds.
- The markers produce colored and uncolored signals in the image area over the image series.
- Extracted signal series are filtered to identify characteristic ratios and signatures.
Potential Applications
This technology could be applied in medical imaging for identifying specific analytes in biological samples, in environmental monitoring for detecting contaminants, and in industrial processes for quality control purposes.
Problems Solved
This technology solves the problem of accurately identifying and tracking analytes in complex image series, where traditional methods may be limited by overlapping signals or background noise.
Benefits
The benefits of this technology include improved accuracy and efficiency in analyte identification, the ability to distinguish between different analytes in the same image area, and the potential for automation in image analysis processes.
Potential Commercial Applications
The potential commercial applications of this technology include medical diagnostics, pharmaceutical research, environmental testing services, and quality control systems in manufacturing.
Possible Prior Art
One possible prior art for this technology could be the use of fluorescent markers in microscopy for identifying specific molecules in biological samples. Another could be the use of image processing algorithms to analyze complex image series in various scientific fields.
Unanswered Questions
How does this method compare to existing techniques for analyte identification in image series?
The article does not provide a direct comparison with existing techniques, so it is unclear how this method improves upon or differs from current practices.
What are the limitations of this method in terms of sample size, image quality, or marker selection?
The article does not address the potential limitations of this method, such as its applicability to different sample sizes, the requirements for high-quality images, or the constraints of marker selection.
Original Abstract Submitted
A method for identifying analytes in an image series, the image series being generated by marking the analytes with markers in multiple coloring rounds and detecting the markers using a camera. The markers are selected in such a way that image signals of an analyte in an image area over the image series include colored signals and uncolored signals. The method comprises extracting multiple signal series of an image area of the image series in each case and filtering out candidate signal series from the extracted signal series. A ratio of at least one of the colored and/or uncolored signals of a candidate signal series to at least one other of the colored and/or uncolored signals of the particular signal series is a characteristic ratio, and/or a candidate signal series has a characteristic signature that has at least one characteristic ratio.
