Disclosed is a method for determining a starting amount of a first substance which is required for providing a predeterminable number of samples in a liquid handling process. Also disclosed is a corresponding computer program and a corresponding computer program product. The liquid handling process is described through at least one work step, taking into account at least one secondary condition. An estimated value for the starting amount of the first substance is determined. A simulation of the at least one work step is then performed. A new estimated value for the starting amount is determined and the simulation is repeated if the prior simulation could not be completed or an actual value ascertained in the simulation deviates from the estimated value by more than a predeterminable tolerance. Otherwise, the actual value ascertained on the basis of the simulation is the starting amount of the first substance.

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.

An automatic analyzer which realizes stable reagent heating and high dispensing accuracy includes a thermostat bath for controlling a reagent or a reaction solution in reaction cells arranged on a circumference of a reaction disk to have a constant temperature; a first reagent dispensing mechanism dispenses a reagent into the reaction cells; a photometer detects transmitted light or scattered light in the reaction cell; and a disposable reaction container for allowing the sample and the reagent to mix and react with each other. The analyzer also includes a second reagent dispensing mechanism with a reagent heating function which dispenses the reagent into the disposable reaction container; a coagulation time detection section; a reaction container temperature control block; a reagent dispensing syringe which is connected to the second reagent dispensing mechanism; and a fluid temperature control mechanism which controls the temperature of an internal fluid of the reagent dispensing syringe.

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.

Aspects of the present disclosure include sample analysis methods and systems. According to certain embodiments, provided are methods of analyzing samples in an automated sample analysis system. The methods include introducing samples and sample preparation cartridges into the system, isolating and purifying an analyte (e.g., nucleic acids and/or proteins) present in the samples at a sample preparation station, and performing analyte detection assays in assay mixtures that include the purified analyte. Also provided are automated sample analysis systems that find use, e.g., in performing the methods of the present disclosure. In certain aspects, the methods and systems provide for continuous operator access during replenishment or removal of one or any combination of samples, bulk fluids, reagents, commodities, waste, and/or the like.

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.

In dispenser-type reagent dispensing, because a reagent is transferred through a piping flow path to a prescribed position and dispensed, some of the reagents may remain in the piping flow path and reagent crystallization may consequently occur in the piping flow path. Thus, crystallization prevention for the entire piping flow path must be taken into consideration. Provided is a dispensing device that comprises a reagent suction pipe for sucking in a reagent from a reagent vessel, a liquid transfer mechanism for transferring the reagent, a nozzle for discharging the reagent, and a reagent discharge pipe that is connected to the reagent container and a port that can be connected to the nozzle. The dispensing device is characterized in that the reagent is dispensed from the nozzle into a reaction vessel and when the reagent is not being dispensed, the nozzle and the port are connected and the reagent is circulated.

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.

A component extraction apparatus includes a rack placement part, a heater, an extraction medium supply part, a needle assembly, and a temperature sensor. When the container rack is mounted on the rack placement part, a heater is configured to heat the sample containers in direct or indirect contact with sample containers held by the container rack. The needle assembly holds a needle with a tip thereof pointing downward, and the needle being configured to connect a flow channel by inserting the tip thereof into a needle port provided on an upper surface of each of the sample containers. The temperature sensor is included in the needle assembly and is configured to detect a temperature of the upper surface of any one of the sample containers when the tip of the needle is inserted into the needle port of the one of the sample containers.