Abstract: Controlling semiconductor device manufacture by acquiring training scatterometric signatures collected at training locations on training semiconductor wafers and corresponding to locations within a predefined design of a training semiconductor device, the training signatures collected after predefined processing steps during manufacture of the device on the training wafers, acquiring manufacturing outcome data associated with the training locations, training a prediction model using the training signatures and the manufacturing outcome data, and applying the prediction model to a candidate scatterometric signature to predict a manufacturing outcome, the candidate signature collected at a candidate location on a candidate semiconductor wafer, the candidate location corresponding to a location within the same predefined design of a candidate semiconductor device, the candidate signature collected after any of the processing steps during manufacture of the candidate device on the candidate wafer.

Abstract: The present invention relates to pharmaceutical formulations for heterodimeric Fc-fused proteins which are advantageous for achieving higher titers of the proteins during production, higher stability during storage, and improved efficacy when used as a therapeutic. Also provided are dosage regimens for such heterodimeric Fc-fused proteins and pharmaceutical formulations for use in treating cancer, such as locally advanced or metastatic solid tumor.

Abstract: Described herein are pharmaceutical formulations comprising multi-specific binding proteins that bind to NKG2D, CD16, and epidermal growth factor receptor (EGFR); and therapeutic uses of the multi-specific binding proteins and pharmaceutical formulations thereof for treating a disease, for example, cancer, in a patient in need thereof.

Abstract: A metrology method for use in determining one or more parameters of a three-dimensional patterned structure, the method including performing a fitting procedure between measured TEM image data of the patterned structure and simulated TEM image data of the patterned structure, determining a measured Lamellae position of at least one measured TEM image in the TEM image data from a best fit condition between the measured and simulated data, and generating output data indicative of the simulated TEM image data corresponding to the best fit condition to thereby enable determination therefrom of the one or more parameters of the structure.

Abstract: A metrology method for use in determining one or more parameters of a patterned structure, the method including providing raw measured TEM image data, TEMmeas, data indicative of a TEM measurement mode, and predetermined simulated TEM image data including data indicative of one or more simulated TEM images of a structure similar to the patterned structure under measurements and a simulated weight map including weights assigned to different regions in the simulated TEM image corresponding to different features of the patterned structure, performing a fitting procedure between the raw measured TEM image data and the predetermined simulated TEM image data and determining one or more parameters of the structure from the simulated TEM image data corresponding to a best fit condition.

Abstract: A metrology method for use in determining one or more parameters of a three-dimensional patterned structure, the method including performing a fitting procedure between measured TEM image data of the patterned structure and simulated TEM image data of the patterned structure, determining a measured Lamellae position of at least one measured TEM image in the TEM image data from a best fit condition between the measured and simulated data, and generating output data indicative of the simulated TEM image data corresponding to the best fit condition to thereby enable determination therefrom of the one or more parameters of the structure.

Abstract: A metrology method for use in determining one or more parameters of a patterned structure, the method including providing raw measured TEM image data, TEMmeas, data indicative of a TEM measurement mode, and predetermined simulated TEM image data including data indicative of one or more simulated TEM images of a structure similar to the patterned structure under measurements and a simulated weight map including weights assigned to different regions in the simulated TEM image corresponding to different features of the patterned structure, performing a fitting procedure between the raw measured TEM image data and the predetermined simulated TEM image data and determining one or more parameters of the structure from the simulated TEM image data corresponding to a best fit condition.

Abstract: Controlling semiconductor device manufacture by acquiring training scatterometric signatures collected at training locations on training semiconductor wafers and corresponding to locations within a predefined design of a training semiconductor device, the training signatures collected after predefined processing steps during manufacture of the device on the training wafers, acquiring manufacturing outcome data associated with the training locations, training a prediction model using the training signatures and the manufacturing outcome data, and applying the prediction model to a candidate scatterometric signature to predict a manufacturing outcome, the candidate signature collected at a candidate location on a candidate semiconductor wafer, the candidate location corresponding to a location within the same predefined design of a candidate semiconductor device, the candidate signature collected after any of the processing steps during manufacture of the candidate device on the candidate wafer.

Abstract: A metrology method for use in determining one or more parameters of a three-dimensional patterned structure, the method including performing a fitting procedure between measured TEM image data of the patterned structure and simulated TEM image data of the patterned structure, determining a measured Lamellae position of at least one measured TEM image in the TEM image data from a best fit condition between the measured and simulated data, and generating output data indicative of the simulated TEM image data corresponding to the best fit condition to thereby enable determination therefrom of the one or more parameters of the structure.

Abstract: This disclosure pertains to compositions comprising an anti-FcRn antibody, M281. The compositions include the full, intact antibody and size variants thereof that not include two antibody heavy chains and to antibody light chains. Thus, a M281 pharmaceutical composition can include: an antibody comprising a heavy chain comprising the amino acid sequence of SEQ ID NO:2 and a light chain comprising the amino acid sequence of SEQ ID NO:1, wherein the composition comprises a major protein component having a molecular weight of 140,00-145,000 Da and a minor protein component of molecular weight 118,000-120,000 Da.

Abstract: A metrology method for use in determining one or more parameters of a three-dimensional patterned structure, the method including performing a fitting procedure between measured TEM image data of the patterned structure and simulated TEM image data of the patterned structure, determining a measured Lamellae position of at least one measured TEM image in the TEM image data from a best fit condition between the measured and simulated data, and generating output data indicative of the simulated TEM image data corresponding to the best fit condition to thereby enable determination therefrom of the one or more parameters of the structure.

Abstract: A control system is presented for use in measuring one or more parameters of a three-dimensional patterned structure. The control system is configured as a computer system comprising a data processor configured to receive and process raw measured TEM image data, TEMmeas, and generate output data indicative of one or more parameters of a patterned structure. The data processor comprises an optimization module configured and operable to utilize data indicative of one or more parameters of TEM measurement mode and perform a fitting procedure between the raw measured TEM image data, TEMmeas, and a predetermined simulated TEM image data, TEMsimui based on a parametrized three-dimensional model of features of the patterned structure, and generate simulated image data corresponding to a best fit condition, to thereby enable determination therefrom of the one or more parameters of the structure.

Abstract: A control system for use in measuring one or more parameters of a patterned structure. The control system is configured as a computer system and comprises: an input utility configured to receive input data comprising raw measured TEM image data, TEMmeas, data indicative of a TEM measurement mode; and a data processor configured to process the raw measured TEM image data, TEMmeas, and generate output data indicative of one or more parameters of a patterned structure. The data processor comprises an optimization module configured and operable to utilize the data indicative of the TEM measurement mode and perform a fitting procedure between the raw measured TEM image data, TEMmeas, and predetermined simulated TEM image data, TEMsimul, and determine one or more parameters of the structure from the simulated image data corresponding to a best fit condition.

Abstract: A control system is presented for use in measuring one or more parameters of a three-dimensional patterned structure. The control system is configured as a computer system comprising a data processor configured to receive and process raw measured TEM image data, TEMmeas, and generate output data indicative of one or more parameters of a patterned structure. The data processor comprises an optimization module configured and operable to utilize data indicative of one or more parameters of TEM measurement mode and perform a fitting procedure between the raw measured TEM image data, TEMmeas, and a predetermined simulated TEM image data, TEMsimui based on a parametrized three-dimensional model of features of the patterned structure, and generate simulated image data corresponding to a best fit condition, to thereby enable determination therefrom of the one or more parameters of the structure.

Abstract: Multi-layered carbon-based hardmask and method to form the same. The multi-layered carbon-based hardmask includes at least top and bottom carbon-based hardmask layers having different refractive indexes. The top and bottom carbon-based hardmask layer thicknesses and refractive indexes are tuned so that the top carbon-based hardmask layer serves as an anti-reflective coating (ARC) layer.