Abstract: The present invention relates to a method for labeling a cell with a barcode. The method for labeling a cell with a barcode of the invention includes (1) for a cell group containing a plurality of single cells, directly or indirectly bringing a cell surface protein of the cell into contact with a modified barcode; or (2) directly or indirectly bringing a cell surface protein of a single cell into contact with a modified barcode.

Abstract: Disclosed herein are a system for identifying cells on a microscopic image. According to some embodiments, the system comprises a non-transitory processor-readable medium, and a processor communicably configured to receive the microscopic image, and process the received microscopic image with a convolutional neural network (CNN) model having a modified U-Net architecture. Also disclosed herein are methods for identifying a spatial pattern of human induced pluripotent stem cells (hiPSCs) by using the present system.

Abstract: To provide a display device capable of further improving reliability of the display device with respect to manufacturing variations, wavelength variations of light sources, and active variations (variations due to external factors). There is provided a display device including at least a light source, a first hologram, and a second hologram, in which the first hologram compensates for dispersion of light emitted from the light source and diffracts and emits the light, the second hologram diffracts the light diffracted with compensated dispersion, and emits the light in a direction of a pupil of a user, and the first hologram has an intensity distribution of different diffraction efficiency with respect to a wavelength of the light emitted from the light source depending on a position in a plane of the first hologram.

Abstract: An object of the present invention is to provide technology for eliminating image quality degradation that may occur in a case where a Foveated rendering technology is utilized. A display device (100) of the present invention includes a scanning mirror drive unit that drives a scanning mirror (104) such that, in a case where two or more mutually different non-resonant axial direction scanning speeds are used in a drawing region of one frame of a video formed by a laser light scanning, non-resonant axial direction scanning speed gradually changes between the different non-resonant axial direction scanning speeds. According to one embodiment of the present disclosure, the display device (100) may further include a hologram element (106) that condenses laser light near a pupil (108) to cause the laser light to reach a retina, the laser light being scanned by the scanning mirror (104).

Abstract: Disclosed herein are a system for identifying cells on a microscopic image. According to some embodiments, the system comprises a non-transitory processor-readable medium, and a processor communicably configured to receive the microscopic image, and process the received microscopic image with a convolutional neural network (CNN) model having a modified U-Net architecture. Also disclosed herein are methods for identifying a spatial pattern of human induced pluripotent stem cells (hiPSCs) by using the present system.

Abstract: Disclosed herein are methods for predicting the reprogramming process of cells from a microscopic image of one or more cells. According to some embodiments, the method includes capturing an image of region of interest (ROI) of every pixel of the microscopic image, followed by processing the ROI image with a trained convolutional neural network (CNN) model and a trained long short-term memory (LSTM) network so as to obtain predicted probability maps. Also disclosed herein are a storage medium and a system for executing the present methods.

Abstract: Disclosed herein are methods for predicting the reprogramming process of cells from a microscopic image of one or more cells. According to some embodiments, the method includes capturing an image of region of interest (ROI) of every pixel of the microscopic image, followed by processing the ROI image with a trained convolutional neural network (CNN) model and a trained long short-term memory (LSTM) network so as to obtain predicted probability maps. Also disclosed herein are a storage medium and a system for executing the present methods.

Abstract: Disclosed herein are methods for identifying cells undergoing reprogramming and reprogrammed cells from a fluorescence microscopic image of one or more cells. According to some embodiments, the method includes an image processing step, a cell detection step, and, optionally, a clustering step.

Abstract: A power receiving unit includes: a power generation section configured to generate DC power based on a power signal wirelessly supplied from a power feeding unit; a load connection section configured to turn on or off supply of the DC power to a load; and a control section configured to control feed power of the power signal, and to turn on the load connection section when the power signal satisfies a variable reference condition.

Abstract: Disclosed herein are methods for analyzing cell kinematics in a nucleated cell culture from a time-series sequence of multiple fluorescence microscopic images of the nucleated cell culture. The method includes the steps of, (a) identifying every cell nucleus in each fluorescence microscopic image; (b) identifying every cell cluster using the cell nuclei identified in the step (a); and (c) tracking the cells and/or cell clusters using the cell nuclei and cell clusters identified for the fluorescence microscopic images in steps (a) and (b) respectively.

Abstract: Disclosed herein are methods for analyzing cell kinematics in a nucleated cell culture from a time-series sequence of multiple fluorescence microscopic images of the nucleated cell culture. The method includes the steps of, (a) identifying every cell nucleus in each fluorescence microscopic image; (b) identifying every cell cluster using the cell nuclei identified in the step (a); and (c) tracking the cells and/or cell clusters using the cell nuclei and cell clusters identified for the fluorescence microscopic images in steps (a) and (b) respectively.

Abstract: Disclosed herein is a power feeder including: a power transmission section adapted to transmit power to one or a plurality of electronic devices using a magnetic field; and a control section adapted to control the operation of the power transmission section, wherein the control section controls the operation of the power transmission section in such a manner as to transmit power in a condition relatively away from a maximum condition in which the transmission efficiency is maximal in an initial operation period as compared to a stable operation period that follows during power transmission.

Abstract: Disclosed herein are methods for identifying cells undergoing reprogramming and reprogrammed cells from a fluorescence microscopic image of one or more cells. According to some embodiments, the method includes an image processing step, a cell detection step, and, optionally, a clustering step.

Abstract: A power receiving unit includes: a power generation section configured to generate DC power based on a power signal wirelessly supplied from a power feeding unit; a load connection section configured to turn on or off supply of the DC power to a load; and a control section configured to control feed power of the power signal, and to turn on the load connection section when the power signal satisfies a variable reference condition.

Abstract: A power receiving unit includes: a power generation section configured to generate DC power based on a power signal wirelessly supplied from a power feeding unit; a load connection section configured to turn on or off supply of the DC power to a load; and a control section configured to control feed power of the power signal, and to turn on the load connection section when the power signal satisfies a variable reference condition.

Abstract: A power receiving unit includes: a power generation section configured to generate DC power based on a power signal wirelessly supplied from a power feeding unit; a load connection section configured to turn on or off supply of the DC power to a load; and a control section configured to control feed power of the power signal, and to turn on the load connection section when the power signal satisfies a variable reference condition.

Abstract: Disclosed herein is a power feeder including: a power transmission section adapted to transmit power to one or a plurality of electronic devices using a magnetic field; and a control section adapted to control the operation of the power transmission section, wherein the control section controls the operation of the power transmission section in such a manner as to transmit power in a condition relatively away from a maximum condition in which the transmission efficiency is maximal in an initial operation period as compared to a stable operation period that follows during power transmission.