Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A method is described for correlating microscopy images from a number of modalities in a sub diffraction resolution environment. The method may include receiving a number of datasets that may represent microscopy captures from a number of different modalities. The microscopy captures may contain feature markers that may be used to register a number of data points contained in a dataset with data points from another dataset. Upon registering the data points of the datasets, a combined dataset may be produced and a visual image of the combined dataset may be provided.

Abstract: A method is described for correlating microscopy images from a number of modalities in a sub diffraction resolution environment. The method may include receiving a number of datasets that may represent microscopy captures from a number of different modalities. The microscopy captures may contain feature markers that may be used to register a number of data points contained in a dataset with data points from another dataset. Upon registering the data points of the datasets, a combined dataset may be produced and a visual image of the combined dataset may be provided.

Abstract: A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Abstract: A method of providing provenance management for a pre-existing application is provided. A provenance data selection is received. The provenance data selection indicates provenance data to present to a user. The provenance data is presented to the user as a version tree comprising a plurality of connected nodes. A node selection is received. The node selection indicates a node selected from the version tree. One or more nodes from a root node of the plurality of connected nodes to the node selected from the version tree are identified. One or more action parameters associated with the identified one or more nodes are identified. An action parameter of the one or more action parameters is associated with a previous interaction with a pre-existing application. Presentation of a state of the pre-existing application associated with the node selected from the version tree is triggered.

Abstract: A method of automatically completing a workflow is provided. An indicator of a partial workflow is received in a computing device. The partial workflow includes a module configured to process data. A workflow completion is determined for the partial workflow based on the partial workflow and a plurality of workflows stored in a computer-readable medium. The workflow completion is configured to further process the data. A workflow is presented in a display operably coupled to the computing device. The workflow includes the determined workflow completion and the partial workflow.

Abstract: A method of providing provenance management for a pre-existing application is provided. A provenance data selection is received. The provenance data selection indicates provenance data to present to a user. The provenance data is presented to the user as a version tree comprising a plurality of connected nodes. A node selection is received. The node selection indicates a node selected from the version tree. One or more nodes from a root node of the plurality of connected nodes to the node selected from the version tree are identified. One or more action parameters associated with the identified one or more nodes are identified. An action parameter of the one or more action parameters is associated with a previous interaction with a pre-existing application. Presentation of a state of the pre-existing application associated with the node selected from the version tree is triggered.