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Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0179722 (2016-06-10) |
등록번호 | US-10100278 (2018-10-16) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 0 인용 특허 : 488 |
A multi-channel system for classifying particles in a mixture of particles according to one or more characteristics including a common source of electromagnetic radiation for producing a beam of electromagnetic radiation and a beam splitter for producing multiple beams of electromagnetic radiation f
A multi-channel system for classifying particles in a mixture of particles according to one or more characteristics including a common source of electromagnetic radiation for producing a beam of electromagnetic radiation and a beam splitter for producing multiple beams of electromagnetic radiation for directing multiple beams of electromagnetic radiation to each interrogation location associated with each flow channel of the multi-channel system.
1. A method of analyzing sperm comprising: a. detecting fluorescence emissions produced by stained sperm illuminated with a laser beam;b. producing waveform pulses based on detected fluorescence emissions produced by stained sperm illuminated with the laser beam;c. extracting features of the wavefor
1. A method of analyzing sperm comprising: a. detecting fluorescence emissions produced by stained sperm illuminated with a laser beam;b. producing waveform pulses based on detected fluorescence emissions produced by stained sperm illuminated with the laser beam;c. extracting features of the waveform pulses in the form of values;d. representing the values of the extracted features in a feature space;e. calculating a posteriori probability the stained sperm belongs to at least a first population of X chromosome bearing sperm and a second population of Y chromosome bearing sperm based on positions of the represented extracted feature values in the feature space and a priori probabilities associated with those same positions in the feature space; andf. classifying individual sperm as belonging to the first population of X chromosome bearing sperm or the second population of Y chromosome bearing sperm based on which population has a higher posteriori probability. 2. The method of claim 1 wherein the feature space comprises values having multiple components with uni-variate Gaussian distributions of extracted features or values having multiple components with bi-variate Gaussian distributions of extracted features. 3. The method of claim 2 wherein the priori probabilities associated with the positions in the feature space are based on a model selected from: a model having two components with Gaussian distributions, a model having three components with Gaussian distributions; and a model having four components with Gaussian distributions. 4. The method of claim 1, wherein a third population of stained sperm comprises unaligned X- and Y-chromosome bearing sperm. 5. The method of claim 1, wherein a third population of stained sperm comprises unaligned X-chromosome bearing sperm and a fourth population of stained sperm comprises unaligned Y-chromosome bearing sperm. 6. The method of claim 1 wherein the extracted features include a peak height and a peak area of the waveform pulses produced by stained sperm. 7. The method of claim 1 further comprising a step of establishing a decision boundary at which the posteriori probability of a stained sperm belonging to the first population of X chromosome bearing sperm is equal to the posteriori probability of the stained sperm belonging to the second population of Y chromosome bearing sperm. 8. The method of claim 1 wherein steps e) and f) are only applied to sperm having waveform pulses including extracted features having a pulse width indicative of a single X- or Y-chromosome bearing sperm. 9. The method of claim 1, wherein the priori probabilities associated with the positions in the feature space are based on a Gaussian mixture model. 10. A method of sorting sperm comprising: a. detecting fluorescence emissions produced by stained sperm illuminated with a laser beam;b. producing waveform pules based on detected fluorescence emissions produced by stained sperm illuminated with the laser beam;c. extracting features of the waveform pulses in the form of valuesd. representing the values of the extracted features in a feature space;e. calculating a posteriori probability the stained sperm belongs to at least a first population of X chromosome bearing sperm and a second population of Y chromosome bearing sperm based on positions of the represented extracted feature values in the feature space and a priori probabilities associated with those same positions in the feature space; andf. classifying individual sperm as belonging to the first population of X chromosome bearing sperm or the second population of Y chromosome bearing sperm based on which population has a higher posteriori probability; andg. sorting sperm based on the classification. 11. The method of claim 10, wherein the feature space comprises values having multiple components with uni-variate Gaussian distributions of extracted features or values having multiple components with bi-variate Gaussian distributions of extracted features. 12. The method of claim 11, wherein the priori probabilities associated with the positions in the feature space are based on a model selected from: a model having two components with Gaussian distributions, a model having three components with Gaussian distributions; and a model having four components with Gaussian distributions. 13. The method of claim 10, wherein a third population of stained sperm comprises unaligned X- and Y-chromosome bearing sperm. 14. The method of claim 10, wherein a third population of stained sperm comprises unaligned X-chromosome bearing sperm and a fourth population of stained sperm comprises unaligned Y-chromosome bearing sperm. 15. The method of claim 10, wherein the extracted features include a peak height and a peak area of the waveform pulses produced by stained sperm. 16. The method of claim 10, further comprising a step of establishing a decision boundary at which the posteriori probability of a stained sperm belonging to the first population of X chromosome bearing sperm is equal to the posteriori probability of the stained sperm belonging to the second population of Y chromosome bearing sperm. 17. The method of claim 10, wherein the step of sorting sperm based on the classification further comprises separating sperm by electromagnetic deflection based on the classification. 18. The method of claim 10, wherein the step of sorting sperm based on the classification further comprises photo-damaging sperm based on the classification. 19. The method of claim 10, wherein the priori probabilities associated with the positions in the feature space are based on a Gaussian mixture model.
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