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 sample processing method may include: removing a liquid component in a container housing a suspension containing a magnetic particle bound with an analyte, while causing magnetic adhesion of the magnetic particle in the container; discharging an elution liquid for releasing the analyte from the magnetic particle from a pipette into the container from which the liquid component has been removed so as to mix the magnetic particle and the elution liquid; moving, after discharging the elution liquid into the container, the pipette relative to and close to an inner wall of the container so as to collect a droplet attached to the inner wall onto an outer surface of the pipette; and moving a tip of the pipette to an accumulation area in which the elution liquid accumulates in the container so as to move the droplet collected on the outer surface of the pipette to the accumulation area.

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 analysis instrument may perform analytical operations on an analyte that is combined with multiple reagents prior to being introduced into a flow cell. The instrument may include a nozzle sipper that aspirates reagents from a recipient, along with an analyte. The reagents may be directed to a volume and may be repeatedly moved into and out of the volume by cycling of a pump. The reagents may be ejected into a destination recipient with the nozzle sipper promoting vorticity in the recipient to enhance mixing. The repeated aspiration and ejection through the nozzle sipper effectively mixes the reagents and the template in an automated or semi-automated fashion.

In some instances, an apparatus can include a light sensitive imaging sensor having a surface to receive a fluid sample, a body to be moved relative to the light sensitive imaging sensor and having a surface to touch a portion of the fluid sample, and a carrier to move the body toward the surface of the light sensitive imaging sensor to cause the surface of the body to touch the portion of the fluid sample, so that as the surface of the body touches the portion of the fluid, the surface of the body (i) is parallel to the surface of the light sensitive imaging sensor, and (ii) settles on top of the fluid sample independently of motion of the carrier.

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 systems and methods for host cell improvement utilizing epistatic effects. The systems and methods described herein are host cell agnostic and therefore can be implemented across taxa. Furthermore, the disclosed systems and methods can be implemented to modulate or improve any host cell parameter of interest.

An insert mounted in a mixing cup and used by an automated chemical analyzer for removing a targeted component of a liquid sample includes a porous matrix formed of or carrying in an immobilized state functionalized particles having properties such that the targeted component of the liquid sample adheres to the functionalized particles. When the liquid sample is expelled from a disposable tip fitted on the end of a pipette forming part of the automated chemical analyzer into the mixing cup, the liquid sample is drawn into the matrix of the insert by capillary action, whereupon the targeted component of the liquid sample adheres to the immobilized functionalized particles of the matrix.

The present disclosure provides systems and methods for host cell improvement utilizing epistatic effects. The systems and methods described herein are host cell agnostic and therefore can be implemented across taxa. Furthermore, the disclosed systems and methods can be implemented to modulate or improve any host cell 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.