Provided herein, in some aspects, are methods of imaging molecules without a microscope or other specialized equipment, referred to herein as “microscope-free imaging (MFI).” Herein, “molecular instruments” (e.g., DNA-based and protein-based molecules) are used, instead of microscopes, in a “bottom-up” approach for inspecting molecular targets.

Provided herein, in some aspects, are methods of imaging molecules without a microscope or other specialized equipment, referred to herein as “microscope-free imaging (MFI).” Herein, “molecular instruments” (e.g., DNA-based and protein-based molecules) are used, instead of microscopes, in a “bottom-up” approach for inspecting molecular targets.

Methods, devices and systems for analyzing precious samples of cells, including single cells are provided. The methods, devices, and systems in various embodiments of the invention are used to assess genomic heterogeneity, which has been recognized as a central feature of many cancers and plays a critical role in disease initiation, progression, and response to treatment. The methods devices and systems are also used to analyze embryonic biopsies for reimplantation genetic diagnosis (PGD). In one embodiment, the devices, systems and methods provided herein allow for the construction of genomic and RNA-seq libraries without a pre-amplification step.

Methods, devices and systems for analyzing precious samples of cells, including single cells are provided. The methods, devices, and systems in various embodiments of the invention are used to assess genomic heterogeneity, which has been recognized as a central feature of many cancers and plays a critical role in disease initiation, progression, and response to treatment. The methods devices and systems are also used to analyze embryonic biopsies for reimplantation genetic diagnosis (PGD). In one embodiment, the devices, systems and methods provided herein allow for the construction of genomic and RNA-seq libraries without a pre-amplification step.

The present invention relates to methods and systems for the analysis of nucleic acids present in biological samples, and more specifically, relates to clustering melt curves derived from high resolution thermal melt analysis performed on a sample of nucleic acids, the resulting clusters being usable, in one embodiment, for analyzing the sequences of nucleic acids and to classify their genotypes that are useful for determining the identity of the genotype of a nucleic acid that is present in a biological sample.

The present invention relates to methods and systems for the analysis of nucleic acids present in biological samples, and more specifically, relates to clustering melt curves derived from high resolution thermal melt analysis performed on a sample of nucleic acids, the resulting clusters being usable, in one embodiment, for analyzing the sequences of nucleic acids and to classify their genotypes that are useful for determining the identity of the genotype of a nucleic acid that is present in a biological sample.

Devices, containers, and methods are provided for performing biological analysis in a closed environment. Illustrative biological analyses include nucleic acid amplification and detection and immuno-PCR.

Devices, containers, and methods are provided for performing biological analysis in a closed environment. Illustrative biological analyses include nucleic acid amplification and detection and immuno-PCR.

A method and a kit for detecting genome editing and application thereof belongs to the field of genome editing efficiency detection, and the getPCR method for determining genome editing efficiency includes quantifying wild-type DNA in a genome to be tested and calculating the percentage of the wild-type DNA to determine the genome editing efficiency. The method has been proved to have good detection accuracy and simple operation, and can be applied to all genome editing methods to quantify genome editing efficiency and screen single-cell clones.

A method and a kit for detecting genome editing and application thereof belongs to the field of genome editing efficiency detection, and the getPCR method for determining genome editing efficiency includes quantifying wild-type DNA in a genome to be tested and calculating the percentage of the wild-type DNA to determine the genome editing efficiency. The method has been proved to have good detection accuracy and simple operation, and can be applied to all genome editing methods to quantify genome editing efficiency and screen single-cell clones.