Abstract: Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Abstract: Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: The invention provides a catalyst comprising iron oxide, nickel, ceria or palladium supported on stainless steel foam. The catalyst is effective in oxidising aromatic compounds such as toluene and o-cresol and, advantageously, is particularly effective when the oxidation is carried out at elevated temperatures that correspond to temperatures attained in areas of the aircraft where cabin air is recirculated.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Abstract: Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Abstract: A solid oxide fuel cell stack includes a plurality of solid oxide fuel cells, wherein each solid oxide fuel cell comprises an electrolyte located between an anode electrode and a cathode electrode, a plurality of gas separators, and at least one compliant cathode contact material. The contact material may be a metallic felt, foam or mesh, an electrically conductive glass or an electrically conductive ceramic felt located between at least one of the plurality of gas separators and a cathode electrode of an adjacent solid oxide fuel cell.

Abstract: A solid oxide fuel cell component (12) comprises a plurality of solid oxide fuel cells (24) arranged in spaced apart relationship, and in electrical series, on a surface of the porous gas permeable support structure (16). Each solid oxide fuel cell (24) comprises a dense gas tight electrolyte member (28), a porous gas permeable first electrode (26) and a porous gas permeable second electrode (30). Each electrolyte (28) is arranged in contact with a corresponding one of the first electrodes (26), each second electrode (30) is arranged in contact with a corresponding one of the electrolytes (28). Each of the first electrodes (26) is arranged in contact with the surface of the support structure (16). The interconnectors (32), the peripheral seal layer (34) and the electrolytes (28) are arranged to encapsulate all of the first electrodes (26) except for the surfaces of the first electrodes (26) in contact with the surface of the support structure (16) to prevent leakage of reactant from the first electrodes (16).

Abstract: A solid oxide fuel cell component (12) comprises a plurality of solid oxide fuel cells (24) arranged in spaced apart relationship, and in electrical series, on a surface of the porous gas permeable support structure (16). Each solid oxide fuel cell (24) comprises a dense gas tight electrolyte member (28), a porous gas permeable first electrode (26) and a porous gas permeable second electrode (30). Each electrolyte (28) is arranged in contact with a corresponding one of the first electrodes (26), each second electrode (30) is arranged in contact with a corresponding one of the electrolytes (28). Each of the first electrodes (26) is arranged in contact with the surface of the support structure (16). The interconnectors (32), the peripheral seal layer (34) and the electrolytes (28) are arranged to encapsulate all of the first electrodes (26) except for the surfaces of the first electrodes (26) in contact with the surface of the support structure (16) to prevent leakage of reactant from the first electrodes (16).

Abstract: A solid oxide fuel cell component (12) comprises a plurality of solid oxide fuel cells (24) arranged in spaced apart relationship, and in electrical series, on a surface of the porous gas permeable support structure (16). Each solid oxide fuel cell (24) comprises a dense gas tight electrolyte member (28), a porous gas permeable first electrode (26) and a porous gas permeable second electrode (30). Each electrolyte (28) is arranged in contact with a corresponding one of the first electrodes (26), each second electrode (30) is arranged in contact with a corresponding one of the electrolytes (28). Each of the first electrodes (26) is arranged in contact with the surface of the support structure (16). The interconnectors (32), the peripheral seal layer (34) and the electrolytes (28) are arranged to encapsulate all of the first electrodes (26) except for the surfaces of the first electrodes (26) in contact with the surface of the support structure (16) to prevent leakage of reactant from the first electrodes (16).

Abstract: A solid oxide electrolyzer cell or a solid oxide reversible fuel cell includes a solid oxide electrolyte. It may also include at least one of a first gadolinia doped ceria interfacial layer in contact with a first side of the electrolyte and a second gadolinia doped ceria interfacial layer in contact with a second side of the electrolyte. It may also include a fuel electrode including a cermet containing nickel and one or both of a doped zirconia and gadolinia doped ceria. It may also include an oxidant electrode including an LSM and one or both of a doped zirconia and gadolinia doped ceria.

Abstract: A solid oxide fuel cell component (12) comprises a plurality of solid oxide fuel cells (24) arranged in spaced apart relationship, and in electrical series, on a surface of the porous gas permeable support structure (16). Each solid oxide fuel cell (24) comprises a dense gas tight electrolyte member (28), a porous gas permeable first electrode (26) and a porous gas permeable second electrode (30). Each electrolyte (28) is arranged in contact with a corresponding one of the first electrodes (26), each second electrode (30) is arranged in contact with a corresponding one of the electrolytes (28). Each of the first electrodes (26) is arranged in contact with the surface of the support structure (16). The interconnectors (32), the peripheral seal layer (34) and the electrolytes (28) are arranged to encapsulate all of the first electrodes (26) except for the surfaces of the first electrodes (26) in contact with the surface of the support structure (16) to prevent leakage of reactant from the first electrodes (16).

Abstract: A solid oxide fuel cell component (12) comprises a plurality of solid oxide fuel cells (24) arranged in spaced apart relationship, and in electrical series, on a surface of the porous gas permeable support structure (16). Each solid oxide fuel cell (24) comprises a dense gas tight electrolyte member (28), a porous gas permeable first electrode (26) and a porous gas permeable second electrode (30). Each electrolyte (28) is arranged in contact with a corresponding one of the first electrodes (26), each second electrode (30) is arranged in contact with a corresponding one of the electrolytes (28). Each of the first electrodes (26) is arranged in contact with the surface of the support structure (16). The interconnectors (32), the peripheral seal layer (34) and the electrolytes (28) are arranged to encapsulate all of the first electrodes (26) except for the surfaces of the first electrodes (26) in contact with the surface of the support structure (16) to prevent leakage of reactant from the first electrodes (16).

Abstract: A solid oxide fuel cell (10) comprises an anode electrode (12), a cathode electrode (14) and an electrolyte (16) between the anode electrode (12) and the cathode electrode (14). A gaseous fuel is supplied to an anode chamber (18) partially defined by the anode electrode (12) and a gaseous oxidant is supplied to a cathode chamber (20) partially defined by the cathode electrode (14). The electrolyte (16) comprises a first dense non-porous layer (22), a second porous layer (24) on the first dense non-porous layer (22) and a third dense non-porous layer (26) on the second porous layer (24). The anode electrode (12) is arranged on the first dense non-porous layer (22) and the cathode electrode (14) is arranged on the third dense non-porous layer (26). The second porous layer (24) acts as a buffer between the first dense non-porous layer (22) and the third dense non-porous layer (26) to prevent defects propagating between the layers (22,26) and to prevent fuel and oxidant leaking through the electrolyte (16).

Abstract: A solid oxide fuel cell stack includes a plurality of solid oxide fuel cells, wherein each solid oxide fuel cell comprises an electrolyte located between an anode electrode and a cathode electrode, a plurality of gas separators, and at least one compliant cathode contact material. The contact material may be a metallic felt, foam or mesh, an electrically conductive glass or an electrically conductive ceramic felt located between at least one of the plurality of gas separators and a cathode electrode of an adjacent solid oxide fuel cell.