Methods and systems for improved labeling and/or de-labeling a molecule or cell in the context of scientific experimentation, industrial applications, and clinical investigation, including the means to repeat the process of labeling and de-labeling in an efficient manner.

Methods and systems for improved labeling and/or de-labeling a molecule or cell in the context of scientific experimentation, industrial applications, and clinical investigation, including the means to repeat the process of labeling and de-labeling in an efficient manner.

The present disclosure includes methods and systems of detecting bacteria in a sample using phage-functionalized sensors, methods of enriching a sample with phage-functionalized magnetic particles, phage-functionalized magnetic particles and methods of making phage-functionalized magnetic particles.

The present disclosure includes methods and systems of detecting bacteria in a sample using phage-functionalized sensors, methods of enriching a sample with phage-functionalized magnetic particles, phage-functionalized magnetic particles and methods of making phage-functionalized magnetic particles.

Disclosed herein are expression vectors which display a passenger polypeptide on the outer surface of a biological entity. As disclosed herein the displayed passenger polypeptide is capable of interacting or binding with a given ligand. Also disclosed are methods of making and using the expression vectors. N/C terminal fusion expression vectors and methods of making and using are also disclosed.

Disclosed herein are expression vectors which display a passenger polypeptide on the outer surface of a biological entity. As disclosed herein the displayed passenger polypeptide is capable of interacting or binding with a given ligand. Also disclosed are methods of making and using the expression vectors. N/C terminal fusion expression vectors and methods of making and using are also disclosed.

Provided herein is a method and system for analyzing a sample. In some embodiments the method makes use of a plurality of capture agents that are each linked to a different oligonucleotide and a corresponding plurality of labeled nucleic acid probes, wherein each of the labeled nucleic acid probes specifically hybridizes with only one of the oligonucleotides. The sample is labeled with the capture agents en masse, and sub-sets of the capture agents are detected using iterative cycles using corresponding subsets of the labeled nucleic acid probes.

Provided herein is a method and system for analyzing a sample. In some embodiments the method makes use of a plurality of capture agents that are each linked to a different oligonucleotide and a corresponding plurality of labeled nucleic acid probes, wherein each of the labeled nucleic acid probes specifically hybridizes with only one of the oligonucleotides. The sample is labeled with the capture agents en masse, and sub-sets of the capture agents are detected using iterative cycles using corresponding subsets of the labeled nucleic acid probes.

Provided herein are methods for characterizing pathogens based on data profiles generated by an analyzer. The provided methods allow for rapid identification and characterization of emergent pathogens or mutations by allowing for facile updates to the established pathogen data used by learning algorithms, while not altering the independent learning algorithms themselves.

Provided herein are methods for characterizing pathogens based on data profiles generated by an analyzer. The provided methods allow for rapid identification and characterization of emergent pathogens or mutations by allowing for facile updates to the established pathogen data used by learning algorithms, while not altering the independent learning algorithms themselves.