Abstract: The present disclosure pertains to an apparatus and methods of an imaging device for obtaining images from the walls of luminal organs or a surgical cavity. The device is capable of passage through luminal organs or introduction into surgical cavities, and obtains images by rapidly scanning a focused light beam on the tissue to be imaged and receiving light from the tissue. The device comprises at least one mechanism for projecting a 2-dimensional (2-D) optical pattern, such as a 2-D scanner (508) or a 2-D optical array forming a closed loop scan pattern (506). The device comprises at least one other beam scanning mechanism, such as a rotary or angular scanner (510) such that cycloid scan pattern is formed on the surface to be scanned, and also has embodiments of focusing optics at different regimes of numerical aperture. The disclosure also describes methods for accurate image reconstruction with embodiments of hardware control and post-acquisition processing.

Abstract: A signal control module integrated to a low coherence interferometry including a one-dimensional (1D) array image sensor is provided. The signal control module includes an image acquisition controller and a signal controller. The image acquisition controller sends a 1D image acquisition control signal. The signal controller sends a two-dimensional (2D) image acquisition control signal, wherein the 1D and 2D image acquisition control signals are synchronized with each other. The 1D array image sensor captures 1D image information of an object-to-be-tested at different positions along a direction according to the 1D and 2D image acquisition control signals. The 1D image information constitutes 2D image information. Furthermore, a low coherence interferometry is provided.

Abstract: A signal control module integrated to a low coherence interferometry including a one-dimensional (1D) array image sensor is provided. The signal control module includes an image acquisition controller and a signal controller. The image acquisition controller sends a 1D image acquisition control signal. The signal controller sends a two-dimensional (2D) image acquisition control signal, wherein the 1D and 2D image acquisition control signals are synchronized with each other. The 1D array image sensor captures 1D image information of an object-to-be-tested at different positions along a direction according to the 1D and 2D image acquisition control signals. The 1D image information constitutes 2D image information. Furthermore, a low coherence interferometry is provided.

Abstract: Provided is a method for synthesizing a perovskite quantum dot film, including: preparing a cellulose nanocrystal (CNC) solution, wherein the CNC solution includes a plurality of CNCs with sulfate groups; preparing a precursor solution; mixing the CNC solution and the precursor solution to form a mixed solution; and filtering and drying the mixed solution to form a perovskite quantum dot film.

Abstract: Provided is a method for synthesizing a perovskite quantum dot film, including: preparing a cellulose nanocrystal (CNC) solution, wherein the CNC solution includes a plurality of CNCs with sulfate groups; preparing a precursor solution; mixing the CNC solution and the precursor solution to form a mixed solution; and filtering and drying the mixed solution to form a perovskite quantum dot film.

Abstract: The present disclosure pertains to an apparatus and methods of an imaging device for obtaining images from the walls of luminal organs or a surgical cavity. The device is capable of passage through luminal organs or introduction into surgical cavities, and obtains images by rapidly scanning a focused light beam on the tissue to be imaged and receiving light from the tissue. The device comprises at least one mechanism for projecting a 2-dimensional (2-D) optical pattern, such as a 2-D scanner (508) or a 2-D optical array forming a closed loop scan pattern (506). The device comprises at least one other beam scanning mechanism, such as a rotary or angular scanner (510) such that cycloid scan pattern is formed on the surface to be scanned, and also has embodiments of focusing optics at different regimes of numerical aperture. The disclosure also describes methods for accurate image reconstruction with embodiments of hardware control and post-acquisition processing.

Abstract: The invention pertains to an apparatus and methods of a medical imaging device for obtaining images from the walls of luminal organs or a surgical cavity. The invention is a rigid enclosure that is capable of passage through luminal organs or introduction into surgical cavities, and obtains images by rapidly scanning a focused light beam on the tissue to be imaged and receiving light from the tissue. The invention has at least one beam scanning mechanism and has multiple embodiments of scanning and focusing optics at different regimes of numerical aperture. The invention also describes methods for correcting inaccurate beam scanning. The device is capable of performing imaging, image guided therapy, tissue excision, or other interventional procedures.

Abstract: A method for analyzing mucosa structure with optical coherence tomography (OCT) is provided, and includes: (a) scanning a mucosa sample with optical coherence tomography; (b) choosing a lateral range from a two- or three-dimensional OCT image and analyzing all the A-scan intensity profiles in the lateral range; (c) calculating three indicators in each A-scan intensity profile, including the standard deviation for a certain depth range below the sample surface, the exponential decay constant of the spatial-frequency spectrum and the epithelium thickness under the condition that the basement membrane is identifiable; and (d) using the three indicators of each A-scan intensity profile within the lateral range to analyze the mucosa structure.

Abstract: A method for analyzing mucosa structure with optical coherence tomography (OCT) is provided, and includes: (a) scanning a mucosa sample with optical coherence tomography; (b) choosing a lateral range from a two- or three-dimensional OCT image and analyzing all the A-scan intensity profiles in the lateral range; (c) calculating three indicators in each A-scan intensity profile, including the standard deviation for a certain depth range below the sample surface, the exponential decay constant of the spatial-frequency spectrum and the epithelium thickness under the condition that the basement membrane is identifiable; and (d) using the three indicators of each A-scan intensity profile within the lateral range to analyze the mucosa structure.