Abstract: The present invention relates to a method, a computing device, and a computer-readable medium for classifying encrypted data using a deep learning model, and more specifically, to a method, a computing device, and a computer-readable medium, in which original data is modified such that the original data is used as training data in a deep learning-based inference model, and the original data and the modified data are encrypted through an optical-based encryption method, so that the encrypted data is input into the inference model, and the encrypted data is labeled with any one classification item among classification items for classifying the encrypted data, thereby performing the labeling task with encrypted data itself without the process of decrypting the encrypted data, and performing the classification task with respect to three or more labels in addition to the binary classification task.

Abstract: The present invention relates to a method, a computing device and a computer-readable medium for classification of encrypted data using neural network, and more particularly, to a method, a computing device and a computer-readable medium for classification of encrypted data using neural network to derive an embedding vector by embedding text data encrypted through an encryption technique, input the embedding vector to a feature extraction module to which a plurality of neural network models are connected, and enable the encrypted text data to be labeled without a separate decryption process by labeling the encrypted text data with a specific classification item based on a learning vector including a feature value derived from the feature extraction module.

Abstract: Disclosed is a method of measuring red blood cell membrane fluctuations based on dynamic cell parameters using a digital holographic microscope; the method including a step of modeling the three-dimensional images of red blood cells to be measured, and a step of measuring red blood cell membrane fluctuations based on the three-dimensional images. According to this method, since the three-dimensional images of red blood cells to be measured are modeled and red blood cell membrane fluctuations are measured based on the three-dimensional images, red blood cell membrane fluctuations can be measured more easily.

Abstract: Provided are a morphological cell parameter-based erythrocyte test method and digital holographic microscope used therein, and the morphological cell parameter-based erythrocyte test method includes performing modeling to create a 3D image of an erythrocyte to be tested and measuring morphological parameters of the erythrocyte based on the 3D image. The morphological cell parameter-based erythrocyte test method performs modeling of a 3D image for an erythrocyte to be tested and measures morphological parameters of the erythrocyte based on the 3D image. Therefore, time and effort consumed in measurement may be reduced, and accuracy of the measurement is excellent.

Abstract: Disclosed is a method of measuring red blood cell membrane fluctuations based on dynamic cell parameters using a digital holographic microscope; the method including a step of modeling the three-dimensional images of red blood cells to be measured, and a step of measuring red blood cell membrane fluctuations based on the three-dimensional images. According to this method, since the three-dimensional images of red blood cells to be measured are modeled and red blood cell membrane fluctuations are measured based on the three-dimensional images, red blood cell membrane fluctuations can be measured more easily.

Abstract: Provided are a morphological cell parameter-based erythrocyte test method and digital holographic microscope used therein, and the morphological cell parameter-based erythrocyte test method includes performing modeling to create a 3D image of an erythrocyte to be tested and measuring morphological parameters of the erythrocyte based on the 3D image. The morphological cell parameter-based erythrocyte test method performs modeling of a 3D image for an erythrocyte to be tested and measures morphological parameters of the erythrocyte based on the 3D image. Therefore, time and effort consumed in measurement may be reduced, and accuracy of the measurement is excellent.

Abstract: A system for three-dimensional visualization of object in a scattering medium includes a sensor for receiving light from the object in the scattering medium and a computing device coupled to the sensor and receiving a plurality of elemental images of the object from the sensor. The computing device causes the elemental images to be magnified through a virtual pin-hole array to create an overlapping pattern of magnified elemental images. The computing device also averages overlapping portions of the element images to form an integrated image.

Abstract: A system for three-dimensional visualization of object in a scattering medium includes a sensor for receiving light from the object in the scattering medium and a computing device coupled to the sensor and receiving a plurality of elemental images of the object from the sensor. The computing device causes the elemental images to be magnified through a virtual pin-hole array to create an overlapping pattern of magnified elemental images. The computing device also averages overlapping portions of the element images to form an integrated image.

Abstract: Disclosed herein is a method that relates to identifying a microorganism. The method comprising, diffracting laser light through a microorganism, combining a reference beam with the diffracted light on a single axis, and recording the combined light holographically as a three-dimensional image with a single exposure on a detector array. The method further comprising, reconstructing the holographic image and matching the reconstructed image with reference images of known microorganisms. Further disclosed herein is an apparatus for identifying a microorganism. The apparatus comprising, an interferometer to record an image of an unknown microorganism using single-exposure on-line (SEOL) digital holography, a means for reconstructing the recorded image, and a means for matching the reconstructed image with images of known microorganism.