Abstract: The present disclosure provides three-dimensional (3D) printing methods, apparatuses, systems, and non-transitory computer-readable medium. The disclosure delineates real time manipulation of three-dimensional printing to reduce deformation. The present disclosure further provides 3D object formed using the methods, apparatuses, and systems.

Abstract: A system for three-dimensional printing is disclosed. The system comprises: a rotary tray configured to rotate about a vertical axis; a printing head, each having a plurality of separated nozzles; and a controller configured for controlling the inkjet printing head to dispense, during the rotation, droplets of building material in layers, such as to print a three-dimensional object on the tray.

Abstract: The present disclosure provides three-dimensional (3D) printing methods, apparatuses, systems, and non-transitory computer-readable medium. The disclosure delineates real time manipulation of three-dimensional printing to reduce deformation. The present disclosure further provides 3D object formed using the methods, apparatuses, and systems.

Abstract: The present disclosure provides three-dimensional (3D) printing methods, apparatuses, systems, and non-transitory computer-readable medium. The disclosure delineates real time manipulation of three-dimensional printing to reduce deformation. The present disclosure further provides 3D object formed using the methods, apparatuses, and systems.

Abstract: A method for inspecting a substrate for defects, including: A method for inspecting a substrate for defects, the method including the steps of: (i) obtaining at least two wafer element detection signal; each wafer element detection signal reflects light scattered to a distinct direction; each wafer element detection signal having a wafer element detection value; (ii) calculating at least one wafer element attribute value in response to the at least two wafer element detection signals; retrieving at least one reference wafer element attribute value, each wafer element attribute value corresponding to a reference wafer element attribute value; and (iii) determining a relationship between the at least one reference wafer element attribute value, wafer element attribute value and at least one threshold to indicate a presence of a defect.

Abstract: A method to extend the process monitoring capabilities of a semiconductor wafer optical inspection system so as to be able to detect low-resolution effects of process variations over the surface of a wafer at much higher sensitivity than heretofore possible. The method consists, in essence, of grouping sensed pixels by geometric blocks over the inspected surface and comparing each block with a corresponding one from another die on the same wager, from another wager of from a stored model image. In one embodiment of the invention, pixel values are compared directly and differences are thresholded at a considerably lower level than during a defects detection process. In another embodiment, there is calculated a signature for each block, based on the sensed light intensity values, and corresponding signatures are compared.

Abstract: A method for inspecting a substrate for defects, including: (a) obtaining an inspected pixel and a reference pixel; (b) calculating an inspected value and a reference value, the inspected value representative of the inspected pixel and the reference value representative of the reference pixel; (c) selecting a threshold in response to a selected value out of the inspected value and the reference value; and (d) determining a relationship between the selected threshold, the reference value and the inspected value to indicate a presence of a defect.

Abstract: A method to extend the process monitoring capabilities of a semiconductor wafer optical inspection system so as to be able to detect low-resolution effects of process variations over the surface of a wafer at much higher sensitivity than heretofore possible. The method consists, in essence, of grouping sensed pixels by geometric blocks over the inspected surface and comparing each block with a corresponding one from another die on the same wager, from another wager of from a stored model image. In one embodiment of the invention, pixel values are compared directly and differences are thresholded at a considerably lower level than during a defects detection process. In another embodiment, there is calculated a signature for each block, based on the sensed light intensity values, and corresponding signatures are compared.

Abstract: A method to extend the process monitoring capabilities of a semiconductor wafer optical inspection system so as to be able to detect low-resolution effects of process variations over the surface of a wafer at much higher sensitivity than heretofore possible. The method consists, in essence, of grouping sensed pixels by geometric blocks over the inspected surface and comparing each block with a corresponding one from another die on the same wager, from another wager of from a stored model image. In one embodiment of the invention, pixel values are compared directly and differences are thresholded at a considerably lower level than during a defects detection process. In another embodiment, there is calculated a signature for each block, based on the sensed light intensity values, and corresponding signatures are compared.

Abstract: A method to extend the process monitoring capabilities of a semiconductor wafer optical inspection system so as to be able to detect low-resolution effects of process variations over the surface of a wafer at much higher sensitivity than heretofore possible. The method consists, in essence, of grouping sensed pixels by geometric blocks over the inspected surface and comparing each block with a corresponding one from another die on the same wager, from another wager of from a stored model image. In one embodiment of the invention, pixel values are compared directly and differences are thresholded at a considerably lower level than during a defects detection process. In another embodiment, there is calculated a signature for each block, based on the sensed light intensity values, and corresponding signatures are compared.

Abstract: A method to extend the process monitoring capabilities of a semiconductor wafer optical inspection system so as to be able to detect low-resolution effects of process variations over the surface of a wafer at much higher sensitivity than heretofore possible. The method consists, in essence, of grouping sensed pixels by geometric blocks over the inspected surface and comparing each block with a corresponding one from another die on the same wafer, from another wafer or from a stored model image. In one embodiment of the invention, pixel values are compared directly and differences are thresholded at a considerably lower level than during a defects detection process. In another embodiment, there is calculated a signature for each block, based on the sensed light intensity values, and corresponding signatures are compared.

Abstract: A method for inspecting a substrate for defects, including: (a) obtaining an inspected pixel and a reference pixel; (b) calculating an inspected value and a reference value, the inspected value representative of the inspected pixel and the reference value representative of the reference pixel; (c) selecting a threshold in response to a selected value out of the inspected value and the reference value; and (d) determining a relationship between the selected threshold, the reference value and the inspected value to indicate a presence of a defect.

Abstract: A method for inspecting a substrate for defects, including: (a) obtaining an inspected pixel and a reference pixel; (b) calculating an inspected value and a reference value, the inspected value representative of the inspected pixel and the reference value representative of the reference pixel; (c) selecting a threshold in response to a selected value out of the inspected value and the reference value; and (d) determining a relationship between the selected threshold, the reference value and the inspected value to indicate a presence of a defect.

Abstract: A method to extend the process monitoring capabilities of a semiconductor wafer optical inspection system so as to be able to detect low-resolution effects of process variations over the surface of a wafer at much higher sensitivity than heretofore possible. The method consists, in essence, of grouping sensed pixels by geometric blocks over the inspected surface and comparing each block with a corresponding one from another die on the same wafer, from another wafer or from a stored model image. In one embodiment of the invention, pixel values are compared directly and differences are thresholded at a considerably lower level than during a defects detection process. In another embodiment, there is calculated a signature for each block, based on the sensed light intensity values, and corresponding signatures are compared.

Abstract: A method for inspecting a substrate for defects, including: A method for inspecting a substrate for defects, the method including the steps of: (i) obtaining at least two wafer element detection signal; each wafer element detection signal reflects light scattered to a distinct direction; each wafer element detection signal having a wafer element detection value; (ii) calculating at least one wafer element attribute value in response to the at least two wafer element detection signals; retrieving at least one reference wafer element attribute value, each wafer element attribute value corresponding to a reference wafer element attribute value; and (iii) determining a relationship between the at least one reference wafer element attribute value, wafer element attribute value and at least one threshold to indicate a presence of a defect.

Abstract: A method for inspecting a substrate for defects, including: (a) obtaining an inspected pixel and a reference pixel; (b) calculating an inspected value and a reference value, the inspected value representative of the inspected pixel and the reference value representative of the reference pixel; (c) selecting a threshold in response to a selected value out of the inspected value and the reference value; and (d) determining a relationship between the selected threshold, the reference value and the inspected value to indicate a presence of a defect.