A method and system is provided for increasing lipids, biomass, and metabolite yields of a microalgae culture of cells and other organisms with conserved metabolic pathways compared to an untreated culture or organism when maintained under normal conditions. The method includes irradiating with electromagnetic ionizing radiation to induce rapid and reproducible hormetic metabolic activation in the organism cells. In an embodiment, the irradiation can be applied in a exponential or stationary phase of microalgae growth. The hormetic effect involves up-regulation of expression of lipid metabolism genes encoding enzymes that are involved in the biosynthesis of lipids with accumulation of energy reserves in the form of lipids and/or accumulation of other metabolites. The method can be implemented in a system that can interface with existing microalgae cultivation platforms, standard microalgae cultivation conditions, alongside standard microalgae culture types, and similarly with organisms with conserved metabolic pathways in their growth substrates.

A process and system for efficiently producing reference data that can be fed into a predictive model for predicting quality attribute concentrations in cell culture processes. A perfusion bioreactor is operated at pseudo-steady-state conditions and one or more attribute influencing parameters are manipulated and changed over time. As the one or more attribute influencing parameters are manipulated, one or more quality attributes are monitored and measured. In one embodiment, multiple quality attributes are monitored and measured in parallel. The quality attribute information is recorded in conjunction with the changes in the attribute influencing parameters. This information is then fed to the predictive model for propagating cell cultures in commercial processes and maintaining the cell cultures within desired preset limits.

Techniques for predicting an amount of at least one biomaterial produced or consumed by a biological system in a bioreactor are provided. Process conditions and metabolite concentrations are measured for the biological system as a function of time. Metabolic rates for the biological system, including specific consumption rates of metabolites and specific production rates of metabolites are determined. The process conditions and the metabolic rates are provided to a hybrid system model configured to predict production of the biomaterial. The hybrid system model includes a kinetic growth model configured to estimate cell growth as a function of time and a metabolic condition model based on metabolite specific consumption or secretion rates and select process conditions, wherein the metabolic condition model is configured to classify the biological system into a metabolic state. An amount of the biomaterial based on the hybrid system model is predicted.

Herein is reported a bioreactor comprising a cultivation vessel and a reactor head plate, wherein the cultivation vessel has a working volume of from 20 ml to 350 ml and comprises two or more in-situ sensors, wherein the reactor head plate comprises an in-situ sensor port, wherein to the in-situ sensor port at least one in-situ glucose sensor and one in-situ pH sensor are connected.

Techniques for predicting an amount of at least one biomaterial produced or consumed by a biological system in a bioreactor are provided. Process conditions and metabolite concentrations are measured for the biological system as a function of time. Metabolic rates for the biological system, including specific consumption rates of metabolites and specific production rates of metabolites are determined. The process conditions and the metabolic rates are provided to a hybrid system model configured to predict production of the biomaterial. The hybrid system model includes a kinetic growth model configured to estimate cell growth as a function of time and a metabolic condition model based on metabolite specific consumption or secretion rates and select process conditions, wherein the metabolic condition model is configured to classify the biological system into a metabolic state. An amount of the biomaterial based on the hybrid system model is predicted.

A method for monitoring a biotechnological process, wherein starting materials are converted into products via a biomass and important process parameters for monitoring are identified during the process, where during the process, a current concentration of the biomass utilized in the process is recurrently estimated, current measurement values of measurable process parameters are then recurrently determined on a recurring basis and current values for additional process parameters are identified therefrom, where the current measurement values of the measurable process parameters and the current determined values of the additional process parameters are based on the respective temporally correlating concentration of biomass and where, from a combination of the current concentration of biomass and the current measurement values of the measurable process parameters and the identified current values of the additional process parameters, current, cell-specific metabolic indicators are then derived which are then used in conjunction with a deterministic process model.

Methods for monitoring, controlling and simulating a bioprocess comprising a cell culture in a bioreactor are provided. The methods comprise obtaining values of one or more process conditions for the bioprocess at one or more maturities, and determining the specific transport rates of one or more metabolites in the cell culture using the values obtained as input to a machine learning model trained to predict the specific transport rates of the one or more metabolites at a latest maturity of the one or more maturities or a later maturity based at least in part on the values of one or more process conditions for the bioprocess at the one or more preceding maturities. The methods further comprise predicting one or more features of the bioprocess based at least in part on the determined specific transport rates. Systems, computer readable media and methods for providing tools to implement such methods are also provided.

An analysis device includes an acquisition unit configured to acquire an image of a cell and an identification unit configured to identify elements that are identifiable on the basis of the image of cell acquired by the acquisition unit. Characteristic quantities of the elements identified by the identification unit are calculated, a correlation between the characteristic quantities is calculated on the basis of the calculated characteristic quantities of the elements, and a correlation between the elements is calculated on the basis of the calculated correlation between the characteristic quantities.

Aspects of the present invention provide improved methods and apparatus for use in in vitro modeling of the interaction of cells with cellular constructs/parts/axons, including axon mimetics and use of three-dimensional fibers.

A method of controlling a bioreactor system includes providing a cell culture in a bioreactor, wherein conditions in the bioreactor enable the cell culture to produce a protein of interest (POI), measuring process parameters (PPs) of the culture within the bioreactor by RAMAN, wherein the process parameters are selected from the group consisting of nutrient concentration, viable cell concentration, and protein attributes, measuring a predetermined weight of the bioreactor with the cell culture, removing cell-free spent media from the cell culture using a first output conduit at a first specified rate, removing cells from the cell culture using a second output conduit at a second specified rate, and introducing one or both of fresh media or nutrients into the cell culture using an input conduit at a third specified rate.