Abstract: Embodiments of the present disclosure provides an image processing method, comprising: acquiring an initial image comprising an image of pupil; acquiring an accumulative histogram set of grayscale values of pixels in the initial image; determining a threshold for binarizing the initial image according to a grayscale value corresponding to a target region in respective accumulative histograms in the accumulative histogram set, wherein the target region corresponds to the image of pupil in the initial image; and binarizing the initial image according to the threshold. An image processing apparatus and a wearable device are further provided.

Abstract: An image processing method for an augmented reality device, an augmented reality device and a storage medium are provided. The image processing method for the augmented reality device includes: tracking lines of sight of a left eye and a right eye to determine a position of a binocular watching range in a three-dimensional space; shooting an image of an external environment where the augmented reality (AR) device is located, and acquiring environment map point cloud data based on a Simultaneous Localization and Mapping (SLAM) algorithm; and updating the environment map point cloud data within the binocular watching range in response to detecting an update of the image of the external environment.

Abstract: The application discloses a method and a device for calculating parameters of a gaze-point calculation model. The method includes: displaying multiple calibration points in sequence on a device screen, and collecting multiple pupil-coordinates data corresponding to each of at least one calibration point of the multiple calibration points; for each calibration point of the at least one calibration point, screening the multiple pupil-coordinates data corresponding to the calibration point, to obtain at least one pupil-coordinates calibration data corresponding to the calibration point; calculating multiple parameters of the gaze-point calculation model according to coordinates data of each calibration point and the at least one pupil-coordinates calibration data corresponding to the calibration point.

Abstract: Provided is a mitochondrial copper depleting strategy that exploits the potential vulnerability for this metabolic by cancer cells such as Triple Negative Breast Cancer cells. A nanoparticle is provided that comprises a self-reporting copper-depleting moiety (CDM) embedded in or on the matrix comprising a semi-conducting polymer and a phospholipid-polyethylene glycol (PEG). The positively charged copper-depleting complex targets mitochondria and deprives cytochrome c oxidase of its necessary copper co-factor. Inhibition of the electron transport chain complex IV compromises oxygen consumption and abrogates fatty acid oxidation, resulting in energy deficiency induced apoptosis of the targeted cancer cells. The copper-depleting nanoparticle can report the copper depleting status through multimodal optical signal changes while decreasing the copper level in tumors to inhibit tumor growth with low toxicity and significantly prolonged survival.

Abstract: The application discloses a method and a device for calculating parameters of a gaze-point calculation model. The method includes: displaying multiple calibration points in sequence on a device screen, and collecting multiple pupil-coordinates data corresponding to each of at least one calibration point of the multiple calibration points; for each calibration point of the at least one calibration point, screening the multiple pupil-coordinates data corresponding to the calibration point, to obtain at least one pupil-coordinates calibration data corresponding to the calibration point; calculating multiple parameters of the gaze-point calculation model according to coordinates data of each calibration point and the at least one pupil-coordinates calibration data corresponding to the calibration point.

Abstract: An image processing method for an augmented reality device, an augmented reality device and a storage medium are provided. The image processing method for the augmented reality device includes: tracking lines of sight of a left eye and a right eye to determine a position of a binocular watching range in a three-dimensional space; shooting an image of an external environment where the augmented reality (AR) device is located, and acquiring environment map point cloud data based on a Simultaneous Localization and Mapping (SLAM) algorithm; and updating the environment map point cloud data within the binocular watching range in response to detecting an update of the image of the external environment.

Abstract: Embodiments of the present disclosure provides an image processing method, comprising: acquiring an initial image comprising an image of pupil; acquiring an accumulative histogram set of grayscale values of pixels in the initial image; determining a threshold for binarizing the initial image according to a grayscale value corresponding to a target region in respective accumulative histograms in the accumulative histogram set, wherein the target region corresponds to the image of pupil in the initial image; and binarizing the initial image according to the threshold. An image processing apparatus and a wearable device are further provided.

Abstract: There is provided herein a nanovesicle comprising a monolayer of phospholipid, porphyrin-phospholipid conjugate and a peptide encapsulating a hydrophobic core, wherein the peptide comprises an amino acid sequence capable of forming at least one amphipathic ?-helix; the porphyrin-phospholipid conjugate comprises one porphyrin, porphyrin derivative or porphyrin analog covalently attached to a lipid side chain, preferably at the sn-1 or the sn-2 position, of one phospholipid; the molar % of porphyrin-phospholipid conjugate to phospholipid is 35% or less; the nanovesicle is 35 nm in diameter or less.