Abstract: The present disclosure is directed to epitope-tagged antibodies, as well as methods of employing the epitope-tagged antibodies for detecting one or more targets in a biological sample, e.g. a tissue sample.

Abstract: Single-stranded oligonucleotide probes, systems, kits and methods for chromosome enumeration, gene copy enumeration, or tissue diagnostics. The probes are particularly suited for detecting gene amplification, deletion, or rearrangement in tissue samples in a single, dual, or multiplexed assay. The probes exhibit improved performance compared to industry leading dual-stranded probes; particularly in terms of the rate of hybridization.

Abstract: The present invention relates generally to the field of computer-based image recognition. More particularly, the invention relates to methods and systems for the identification, and optionally the quantitation of, discrete objects of biological origin such as cells, cytoplasmic structures, parasites, parasite ova, and the like which are typically the subject of microscopic analysis. The invention may be embodied in the form of a method for training a computer to identify a target biological material in a sample. The method may include accessing a plurality of training images, the training images being obtained by light microscopy of one or more samples containing a target biological material and optionally a non-target biological material. The training images are cropped by a human or a computer to produce cropped images, each of which shows predominantly the target biological material.

Abstract: The present invention relates generally to the field of computer-based image recognition. More particularly, the invention relates to methods and systems for the identification, and optionally the quantitation of, discrete objects of biological origin such as cells, cytoplasmic structures, parasites, parasite ova, and the like which are typically the subject of microscopic analysis. The invention may be embodied in the form of a method for training a computer to identify a target biological material in a sample. The method may include accessing a plurality of training images, the training images being obtained by light microscopy of one or more samples containing a target biological material and optionally a non-target biological material. The training images are cropped by a human or a computer to produce cropped images, each of which shows predominantly the target biological material.