Abstract: A method for preparing a solar cell includes providing a substrate with a first conducting layer, the substrate including a first surface and a second surface opposite to each other in a thickness direction of the substrate, the first conducting layer being formed on the first surface; forming a first electrode pattern on a side of the first conducting layer away from the substrate, the first electrode pattern being electrically connected to the first conducting layer, the first electrode pattern including a first soldering pattern, the first soldering pattern being configured for soldering to one or more first bus ribbons; forming a first dielectric layer on a side of the first electrode pattern away from the substrate, and covering the first electrode pattern with the first dielectric layer; and removing a portion of the first dielectric layer corresponding to the first soldering pattern, and exposing the first soldering pattern.

Abstract: A solar cell, a preparation method thereof, and a photovoltaic module. The solar cell includes a silicon substrate, a tunnel oxide layer, a first doped polysilicon layer, a laser-absorption layer, and a second doped polysilicon layer. The tunnel oxide layer is disposed on a surface of the silicon substrate. The first doped polysilicon layer is disposed on a surface of the tunnel oxide layer. A surface of the first doped polysilicon layer includes a metal contact region and a non-metal contact region. The laser-absorption layer is disposed on the metal contact region of the surface of the first doped polysilicon layer. The laser-absorption layer is adapted to be vaporized by absorbing a laser having a predetermined wavelength. The second doped polysilicon layer is disposed on a surface of the laser-absorption layer.

Abstract: A solar cell and a manufacturing method thereof, a photovoltaic module, and a photovoltaic system. The solar cell includes a substrate and a passivated contact structure. The passivated contact structure includes a first tunnel oxide layer, a polysilicon doped conductive layer, and a second tunnel oxide layer sequentially disposed on a surface of the substrate. A plurality of holes arranged spaced apart from each other are formed in at least a part of regions of the polysilicon doped conductive layer and the first tunnel oxide layer. Each of the holes extends through the polysilicon doped conductive layer and extends into the first tunnel oxide layer. The second tunnel oxide layer at least fills a portion of each of the holes that is located within the first tunnel oxide layer.

Abstract: A preparation method of a passivated contact structure includes: forming a tunneling layer on a semiconductor substrate; forming an intrinsic semiconductor layer on the tunneling layer; forming a doped layer containing a dopant on the intrinsic semiconductor layer, and performing an activation treatment on the doped layer to diffuse the dopant in the doped layer into the intrinsic semiconductor layer to form a doped semiconductor layer. The tunneling layer and the doped semiconductor layer form the passivated contact structure.

Abstract: The present disclosure provides a solar cell and a preparation method thereof, belongs to the technical field of solar cells. The preparation method of a solar cell according to the present disclosure includes: forming a passivation structure on a contact silicon layer at a back side of a silicon substrate; where the back side is a side opposite to a light incident side; removing the passivation structure located at least part of an electrode region by laser to form a contact opening, melting at least part of the contact silicon layer at the contact opening by laser, and solidifying the molten contact silicon layer to form a re-solidified structure; where the electrode region is a region configured to form a back electrode; and electroplating to form a back electrode in the electrode region on the back side of the contact silicon layer.

Abstract: A method for reconstructing an image from emission data includes generating a compressed point-spread function matrix, generating an accumulated attenuation factor; and performing at least one image projection operation on an image matrix of the emission data using the compressed point-spread function matrix and the accumulated attenuation factor. The image projection operation can include rotating an image matrix and an exponential attenuation map to align with a selected viewing angle. An accumulated attenuation image is then generated from the rotated image matrix and rotated exponential attenuation map and a projection image is generated for each voxel by multiplying the accumulated attenuation image and point spread function matrix for each voxel. The rotating and multiplying operations can be performed on a graphics processing unit, which may be found in a commercially available video processing card, which are specifically designed to efficiently perform such operations.

Abstract: A method for electronically cleansing a virtual object formed from acquired image data converted to a plurality of volume elements is provided. The present method allows individual volume elements, or voxels, to represent more than one material type. The method includes defining a partial volume image model for volume elements representing a plurality of material types based, at least in part, on the measured intensity value of the volume element. The material mixture for each of the volume elements representing a plurality of material types can be estimated using the observed intensity values and the defined partial volume image model. The volume elements representing a plurality of material types can then be classified in accordance with the estimated material mixture. For electronic colon cleansing, the method includes removing at least one classification of volume elements when displaying the virtual object.

Abstract: A method for reconstructing an image from emission data includes generating a compressed point-spread function matrix, generating an accumulated attenuation factor; and performing at least one image projection operation on an image matrix of the emission data using the compressed point-spread function matrix and the accumulated attenuation factor. The image projection operation can include rotating an image matrix and an exponential attenuation map to align with a selected viewing angle. An accumulated attenuation image is then generated from the rotated image matrix and rotated exponential attenuation map and a projection image is generated for each voxel by multiplying the accumulated attenuation image and point spread function matrix for each voxel. The rotating and multiplying operations can be performed on a graphics processing unit, which may be found in a commercially available video processing card, which are specifically designed to efficiently perform such operations.

Abstract: A computer aided detection (CAD) method for detecting polyps within an identified mucosa layer of a virtual representation of a colon includes the steps of identifying candidate polyp patches in the surface of the mucosa layer and extracting the volume of each of the candidate polyp patches. The extracted volume of the candidate polyp patches can be partitioned to extract a plurality of features, of the candidate polyp patch, which includes at least one internal feature of the candidate polyp patch. The features can include density texture features, geometrical features, and morphological features of the polyp candidate volume. The extracted features of the polyp candidates are analyzed to eliminate false positives from the candidate polyp patches. Those candidates which are not eliminated are identified as polyps.

Abstract: A method for electronically cleansing a virtual object formed from acquired image data converted to a plurality of volume elements is provided. The present method allows individual volume elements, or voxels, to represent more than one material type. The method includes defining a partial volume image model for volume elements representing a plurality of material types based, at least in part, on the measured intensity value of the volume element. The material mixture for each of the volume elements representing a plurality of material types can be estimated using the observed intensity values and the defined partial volume image model. The volume elements representing a plurality of material types can then be classified in accordance with the estimated material mixture. For electronic colon cleansing, the method includes removing at least one classification of volume elements when displaying the virtual object.