Abstract: Embodiments described herein relate to a method that includes emitting a beam from a laser into a first end of a channel within a workpiece, and detecting an intensity of the beam with a camera at a second end of the channel. In an embodiment, the first end of the channel and the second end of the channel are on the same surface of the workpiece, and the channel is curved.

Abstract: Embodiments described herein relate to substrate holder systems. An apparatus includes a base structure of a substrate holder, a passivation layer formed on a surface of the base structure, and a diamond-like carbon (DLC) coating formed on the passivation layer. The substrate holder is to receive a substrate. The passivation layer provides corrosion resistance for the substrate holder with respect to at least one process chemistry. The DLC coating provides wear resistance for the substrate holder.

Abstract: A method includes receiving, by a processing device, first data from an optical sensor of a processing chamber. The method further includes processing the first data to obtain second data. The second data includes an indication of a condition of a coating on an interior surface of the processing chamber. The method further includes generating an indication of performance of a processing operation of the processing chamber in view of the second data. The method further includes causing performance of a corrective action in view of the indication of performance of the processing chamber.

Abstract: Embodiments described herein relate to substrate holder systems. An apparatus includes a substrate holder having a surface to receive a substrate. The surface has a texture that causes an optical beam incident on the surface to scatter in at least one direction away from an optical detector to be located above the substrate holder.

Abstract: An apparatus includes a substrate holder having a surface to receive a substrate. The surface has a texture that causes an optical beam incident on the surface to scatter in at least one direction away from an optical detector to be located above the substrate holder.

Abstract: Provided are an anti-human claudin 18.2 monoclonal antibody and application thereof. The antibody has three heavy chain CDRs and three light chain CDRs, one of the three heavy chain CDRs and three light chain CDRs is as follows: a heavy chain CDR1 is SEQ ID NO: 1, a heavy chain CDR2 is SEQ ID NO: 2, a heavy chain CDR3 is SEQ ID NO: 3, a light chain CDR1 is SEQ ID NO: 4, a light chain CDR2 is SEQ ID NO: 5, and a light chain CDR3 is SEQ ID NO: 6.

Abstract: A method includes receiving, by a processing device, first data from an optical sensor of a processing chamber. The method further includes processing the first data to obtain second data. The second data includes an indication of a condition of a coating on an interior surface of the processing chamber. The method further includes generating an indication of performance of a processing operation of the processing chamber in view of the second data. The method further includes causing performance of a corrective action in view of the indication of performance of the processing chamber.

Abstract: Methods, apparatus, and storage medium for determining a condition of a biostructure by a neural network based on quantitative imaging data (QID) corresponding to an image of the biostructure. The method includes obtaining specific quantitative imaging data (QID) corresponding to an image of a biostructure; determining a context spectrum selection from context spectrum including a range of selectable values by: applying the specific QID to an input layer of a context-spectrum neural network, wherein the context-spectrum neural network is trained, according to a combination of focal loss and dice loss, based on previous QID and constructed context spectrum data associated with the previous QID; mapping the context spectrum selection to the image to generate a context spectrum mask for the image; and determining a condition of the biostructure based on the context spectrum mask.

Abstract: Provided are an anti-human claudin 18.2 monoclonal antibody and application thereof. The antibody has three heavy chain complementarity-determining regions (heavy chain CDR1, heavy chain CDR2, and heavy chain CDR3) and three light chain complementarity-determining regions (light chain CDR1, light chain CDR2, and light chain CDR3).