Automated pipetting systems and methods are disclosed for aspirating and dispensing fluids, particularly biological samples. In one aspect, a liquid dispenser includes a manifold and one or more pipette channels. The manifold includes a vacuum channel, a pressure channel, and a plurality of lanes. Each lane includes an electrical connector, a port to the pressure channel, and a port to the vacuum channel. The pipette channels can be modular. Each pipette channel includes a single dispense head and can be selectively and independently coupled to any one lane of the plurality of lanes. In some aspects, a valve in the pipette channel is in simultaneous fluid communication with a pressure port and a vacuum port of the manifold. The valve selectively diverts gas under pressure and gas under vacuum to the dispense head in response to control signals received through the electrical connector of the manifold.

A sample pooling system 1000 comprises a sample pooling device 200 that pools samples, a first PCR device 300 that performs a PCR on mixed samples, and a second PCR device 400 that performs a PCR on individual samples. The sample pooling device 200 comprises a single first rack 700a that accommodates a plurality of mixed sample containers in a row in the y direction; a plurality of second racks 700c that accommodate a plurality of individual sample containers in a row in the x direction; and a plurality of dispensation nozzles 240 that dispense a plurality of individual samples from the plurality of individual sample containers accommodated by a respective second rack 700c into a respective mixed sample container. The plurality of individual sample containers accommodated by one of the second racks 700c are aligned in the x direction with one of the plurality of mixed sample containers accommodated by the first rack 700a.

Described is a method for loading a sample-vial carrier into a sample manager of a liquid chromatography system. The method includes placing a sample-vial carrier onto a transfer drawer having first and second drawer magnets. The transfer drawer is transported into a sample tray of a sample manager using a drawer drive system of a transfer drawer receiving apparatus. The drawer drive system has a drive magnet that is engaged with the first drawer magnet during transport. The transport of the transfer drawer is terminated when the second drawer magnet is engaged with a sample tray magnet on the sample tray. The sample tray is rotated about an axis substantially perpendicular to a direction of transport of the transfer drawer to provide a shear force to disengage the first drawer magnet from the drive magnet.

Automated pipetting systems and methods are disclosed for aspirating and dispensing fluids, particularly biological samples. In one aspect, a liquid dispenser includes a manifold and one or more pipette channels. The manifold includes a vacuum channel, a pressure channel, and a plurality of lanes. Each lane includes an electrical connector, a port to the pressure channel, and a port to the vacuum channel. The pipette channels can be modular. Each pipette channel includes a single dispense head and can be selectively and independently coupled to any one lane of the plurality of lanes. In some aspects, a valve in the pipette channel is in simultaneous fluid communication with a pressure port and a vacuum port of the manifold. The valve selectively diverts gas under pressure and gas under vacuum to the dispense head in response to control signals received through the electrical connector of the manifold.

The present disclosure describes pipette tips haying an absorbent material (e.g., a flocking material) anchored to a distal end of the pipette tip and related methods of use. In some embodiments, the flocked pipette tips can be used in an automated process and/or system, wherein the contact between the pipette tips and either a sample or a culture medium can be automatically sensed for accurate sample collection and/or dispense. In some embodiments, automatic detection of the liquid interface may be accomplished by detecting a threshold change in capacitance when the pipette tip contacts the sample liquid interface (e.g., for sample collection) or the agar interface (e.g., for sample release). In some embodiments, the automated process and/or system may utilize one or more predetermined, fixed heights for collecting samples and/or depositing samples.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.