Abstract: The present invention provides a method comprising (a) obtaining a single cell gene expression profile comprising gene expression measurements for a set of genes, for a plurality of cells, and a single cell protein expression profile comprising protein expression measurements for two or more proteins, for the plurality of cells; (b) using the single cell protein expression profiles and an unsupervised learning method to assign a cell type class to at least some of the plurality of cells; and(d) applying a feature selection process to the single gene expression profiles to identify genes in the single cell gene expression profiles that are predictive of the cell type classes assigned in step (b), wherein the genes identified in step (d) form a predictor set of genes for predicting the cell type of one or more cells.

Abstract: An image reconstruction method adapted to use with a planting bed is provided. The planting bed is constituted by a work platform disposed on a work plane and for supporting a plurality of plants thereon. The image reconstruction method includes steps of: capturing a plurality of images of the work platform from different positions on a monitoring plane to obtain a plurality of image data, wherein the monitoring plane is opposite to the work plane, the monitoring and work planes are parallel to each other in a visible range and have a predetermined distance therebetween; and performing an image stitching algorithm to stitch the image data into a two-dimensional image of the planting bed. A monitoring system of a planting bed is also provided.

Abstract: An exemplary locomotion analysis method includes steps of: acquiring a depth map including an image of a measured object, filtering out a background image of the depth map according to a depth threshold, finding out the image of the measured object from the residual image of the depth map, calculating three-dimensional (3D) coordinates of the measured object according to the image of the measured object has been found out, recording the 3D coordinates to reconstruct a 3D moving track of the measured object and performing a locomotion analysis of the measured object according to the 3D moving track. Moreover, an exemplary locomotion analysis apparatus applied to the above method also is provided.

Abstract: A structure of a planting bed includes at least a work platform, a plurality of first and second supporting rods, a sliding track and an image capture apparatus. The first work platform is disposed on a work plane for supporting a plurality of plants. The first supporting rods each extend in a first direction. The second supporting rods are disposed on the work plane and around the work platform to support the work platform on the work plane, and each are connected to two adjacent first supporting rods. The sliding track is disposed on a monitoring plane and extends in a second direction. The sliding structure extends in a third direction and an end thereof is disposed on the sliding track. The image capture apparatus is installed to the sliding structure for capturing images at different positions on the work platform while the sliding structure is being driven to slide.

Abstract: An image reconstruction method adapted to use with a planting bed is provided. The planting bed is constituted by a work platform disposed on a work plane and for supporting a plurality of plants thereon. The image reconstruction method includes steps of: capturing a plurality of images of the work platform from different positions on a monitoring plane to obtain a plurality of image data, wherein the monitoring plane is opposite to the work plane, the monitoring and work planes are parallel to each other in a visible range and have a predetermined distance therebetween; and performing an image stitching algorithm to stitch the image data into a two-dimensional image of the planting bed. A monitoring system of a planting bed is also provided.

Abstract: An exemplary locomotion analysis method includes steps of: acquiring a depth map including an image of a measured object, filtering out a background image of the depth map according to a depth threshold, finding out the image of the measured object from the residual image of the depth map, calculating three-dimensional (3D) coordinates of the measured object according to the image of the measured object has been found out, recording the 3D coordinates to reconstruct a 3D moving track of the measured object and performing a locomotion analysis of the measured object according to the 3D moving track. Moreover, an exemplary locomotion analysis apparatus applied to the above method also is provided.