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.

This disclosure relates to an assembly for loading a sample liquid. The assembly comprises an entry port comprising an inlet and a gas vent, and a reservoir. The reservoir comprises a distal wall, a fin, and a continuous fluidic pathway. The fin comprises first and second surfaces and extends from the inlet towards the distal wall. The continuous fluidic pathway comprises a converging channel that is in fluidic communication with the inlet and is defined by the second surface of the fin, and a diverging channel that is defined by the first surface of the fin and is in fluidic communication with the gas vent. At a distal end of the fin, a width of the converging channel at most equals a width of the diverging channel, and the width of the converging channel at most equals a distance between the distal end of the fin and the distal wall.

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.

Systems and methods for preparing a cytological specimen from a patient sample in a sample container include or employ mechanisms for quickly and accurately adjusting the pressure in a pressure unit during the specimen preparation. The systems include a specimen transfer device configured for being positioned within the sample container, a pressure tank coupled to the specimen transfer device and configured for applying at least one of positive pressure and vacuum pressure through the specimen transfer device, and a temperature adjusting unit coupled to the pressure tank, and configured for incrementally adjusting the pressure in the pressure tank by heating or cooling the tank. The method includes steps of performing a coarse pressure adjustment using a supply valve and/or a bleed valve coupled to the pressure tank, and, after the coarse adjustment, performing a fine pressure adjustment using a temperature adjusting element coupled to the pressure tank.

It is an object to provide a deforming element-included dispensing tip, a deforming element-included dispensing device, and a deforming element-included dispensing processing method not requiring any cylinder and capable of achieving highly precise position control and enhancing integration of higher density and reducing the burden in the quality control in reaction processing of a biological material for extraction of DNA and the like. A tip-shaped container formed with a non-deforming wall having an opening portion at an upper side and an inlet unit at a lower side for allowing fluid to flow in and flow out and a sealing plug attached to the opening portion so as to seal the opening portion are provided, and the sealing plug is configured to be provided with a deforming element.

A sample separation device to introduce a sample to be separated to an inside of the sample separation device, centrifuge the sample, and collect a desired liquid after separation, includes: a sample introducing portion introducing the sample into the sample separation device; a liquid surface defining portion connected to the sample introducing portion; a first separating portion connected to the liquid surface defining portion; a second separating portion connected to the first separating portion; a third separating portion connected to the second separating portion; and a liquid extracting portion including the third separating portion and connected to the third separating portion, in which a tubular flow path is formed by at least the first separating portion and the second separating portion, in which an opening of the sample introducing portion and an opening of the liquid extracting portion are oriented in the same direction.

The present invention is directed towards an apparatus and methods for a precise, fast and easy to use manipulation of beads. This method is particularly useful to carry out separation between the beads and the remaining supernants present in the fluid, maximizing the collection and purification efficiencies in tips for liquid handling.

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 invention is directed towards an apparatus and methods for a precise, fast and easy to use manipulation of beads. This method is particularly useful to carry out separation between the beads and the remaining supernants present in the fluid, maximizing the collection and purification efficiencies in tips for liquid handling.

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.