Methods for processing spectral data for enhanced embryo...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical

Reexamination Certificate

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C700S029000, C702S032000, C702S179000, C703S002000, C703S011000, C706S020000, C706S022000

Reexamination Certificate

active

07610155

ABSTRACT:
A method is disclosed for classifying plant embryos according to their quality using a logistic regression model. First, sets of image or spectral data are acquired from plant embryos of known quality, respectively. Second, each of the acquired sets of image or spectral data is associated with one of multiple class labels according to the corresponding embryo's known quality. Third the sets of image or spectral data values are filtered to provide filtered image or spectral data values. Fourth, a classification algorithm, e.g., a logistic regression analysis is applied to the filtered data values and their corresponding class labels to develop a classification model. Fifth, image or spectral data are acquired from a plant embryo of unknown quality, and filtered data values are derived therefrom. Sixth, the classification model is applied to the filtered data values for the plant embryo of unknown quality to classify the same.

REFERENCES:
patent: WO 99/63057 (1999-12-01), None
Timmis R et al., “Use of Visible and Near-Infrared Reflectance Spectra for Selection of Germination-Competent Somatic Embryos,” Dec. 2004.

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