Abstract: A method, an apparatus and a system for cell detection are provided. In the apparatus, a hyperspectrum module is used to capture information across electromagnetic spectrums from an image, a stereo camera module is used to capture three-dimensional image information, and the hyperspectrum module and the stereo camera module form a trinocular micro spectrometer. A microscopic optical module is provided for the two modules to form hyperspectrum and three-dimensional image information from a cell and its split cells via a lens. In the method, a series of continuous images are obtained within a time period. An observation image array with a plurality of observation image zones are provided to retrieve coordinates of a plurality of feature points at different times. Finally, a holistic cellular activity can be obtained by analyzing continuous hyperspectrum and 3D image information from the images over time.

Abstract: A method, an apparatus and a system for cell detection are provided. In the apparatus, a hyperspectrum module is used to capture information across electromagnetic spectrums from an image, a stereo camera module is used to capture three-dimensional image information, and the hyperspectrum module and the stereo camera module form a trinocular micro spectrometer. A microscopic optical module is provided for the two modules to form hyperspectrum and three-dimensional image information from a cell and its split cells via a lens. In the method, a series of continuous images are obtained within a time period. An observation image array with a plurality of observation image zones are provided to retrieve coordinates of a plurality of feature points at different times. Finally, a holistic cellular activity can be obtained by analyzing continuous hyperspectrum and 3D image information from the images over time.

Abstract: The present invention discloses a poultry selection method to improve the egg production rate, the method comprises steps of collecting protein samples and egg productivity information of multiple poultry groups, transforming these information into multiple scores, ranks, and their corresponding codes; the next step is to combine the corresponding codes to form regional codes, and compare the matching rate; and select the poultry with the required egg production.

Abstract: The bio-expression system comprising: a process system used to process data and a three-dimension image generating module embedded in the computing system, wherein while input of a set of two-dimensional individual model sections is fed into the process system, the three-dimension image generating module is responsive to the input of the two-dimension individual model sections and is capable of processing an individual model construction and model-averaging procedure, thereby generating an average model for each individual dataset. A database includes a bio-expression sub-database, cellular network sub-database and fine structure sub-database, wherein the database is coupled to the process system to store at least the average model. A stereoscopic projecting system is coupled to the process system to display stereoscopic images for active or passive virtual reality applications, thereby presenting the bio-expressions, cellular networks or bio-fine structures under the input instruction of the process system.

Abstract: The present invention discloses a poultry selection method to improve the egg production rate, the method comprises steps of collecting protein samples and egg productivity information of multiple poultry groups, transforming these information into multiple scores, ranks, and their corresponding codes; the next step is to combine the corresponding codes to form regional codes, and compare the matching rate; and select the poultry with the required egg production.