Patent classifications
C12M41/38
Methods of non-destructive nanostraw intracellular sampling for longitudinal cell monitoring
Methods and apparatuses to non-destructively and periodically sample a small quantity of intracellular proteins and mRNA from the same single cell or cells for an extended period of time. Specifically, describe herein are non-perturbative methods for time-resolved, longitudinal extraction and quantitative measurement of intracellular proteins and nucleic acids from a variety of cell types using systems including nanostraws.
SYSTEM FOR IMAGE-DRIVEN CELL MANUFACTURING
Systems and methods for image-driven cell manufacturing are provided. Systems comprise a substrate for cells, imaging system for imaging cells on the substrate, computing system that computes cell characteristics from images, and a pulsed laser scanning system. The substrate is suitable for high-resolution cell imaging and is coated with a layer that partially absorbs laser pulses for the purpose of converting energy into microbubble formation. The computing system communicatively coupled to the pulsed laser scanning system and directs laser pulses to the substrate under targeted cells. Laser pulses are converted into mechanical energy via microbubbles that, depending on laser energy and pulse pattern, destroy selected cells, remove selected cells, or temporarily porate selected cells for the purpose of introducing biological cargos.
SYSTEMS AND METHODS FOR NORMALIZING SIGNALS IN BLOOD CULTURE MEASUREMENT SYSTEMS
Systems and methods for optimizing detection of optical signals indicating the presence of an analyte of interest in a blood sample are described. In one aspect, a blood culture test vial having a sensor is inoculated with the blood sample, light at an excitation frequency of the sensor is transmitted to the test vial, an intensity of a plurality of fluorescence signals emitted from the test vial is measured, and the plurality of measured fluorescence signals are normalized using by a reference signal that is not dependent on a measured intensity of a fluorescence signal emitted from the test vial. In another aspect, a measurement system measures fluorescence signals from one or more reference vials performing in extreme pH conditions. Fluorescence signals emitted from test vials inoculated with samples under test are measured and compared to the signals measured from the one or more reference vials to address or mitigate variability in hardware components of the measurement system.
METHOD AND DEVICE FOR ESTIMATING NUMBER OF CELLS
To estimate concentration of a cellular metabolite contained in a culture medium where certain cells are cultured, using a simple method, etc., spectroscopy. The number of the certain cells is estimatable by applying previously obtained information regarding relationship between a cellular metabolite concentration and the number of the certain cells.
In spectroscopy, the higher the cellular metabolite concentration, the more accurately the actual concentration of the cell consumed-substance can be estimated. Accordingly, the concentration of a cell-consumed substance, decreasing as cells are cultured, are estimated in the early to middle stages of culture, and the concentrations of a cell-produced substance, increasing as cells are cultured, are estimated in the middle to late stage of the culture. This enables estimation of the number of cells in the entire range from beginning to end of cell culture.
COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAM PRODUCT AND HYBRID SYSTEM FOR CELL METABOLISM STATE OBSERVER
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.
Device and method for examining a medium
The invention relates to a device for examining a medium (100) inside a bioreactor (200; 201), comprising a sample-taking module (20) for taking a sample of the medium (100). The sample-taking module (20) comprises an uptake region (10; 10a; 10b) that can be arranged to make contact with the medium (100) inside the bioreactor (200; 201). At least two different membranes (15, 16) are positioned on the uptake region (10; 10a; 10b) of said sample-taking module (20), for the purpose of taking a sample of the medium (100).
Method For Promoting Synthesis Of Sorbitol Dehydrogenase And Coenzyme Pyrroloquinoline Quinone From Gluconobacter Oxydans
The present invention discloses a method for promoting the fermentation of Gluconobacter oxydans to produce D-sorbitol dehydrogenase and pyrroloquinoline quinone. The method comprises: Gluconobacter oxydans is inoculated to a fermentation culture medium, fermented and cultured under the conditions of 28-32 C. and 150-180 rpm for 6-24 hours, the fermented solution is centrifuged, and wet bacteria are collected, thus acquiring bacteria cells containing D-sorbitol dehydrogenase and pyrroloquinoline quinone. The method promotes the synthesis of coenzyme pQQ and the enzyme activity of per unit volume D-sorbitol dehydrogenase, Gluconobacter oxydans cultured and acquired using the method is biotransformed to synthesize miglitol precursor 6-deoxy-6-amino(N-hydroxyethyl)--L-furan sorbose (6NSL), the conversion progress of the product 6NSL is increased by 21-35%, and a biotransformation step cycle is reduced from 48 hours to 36 hours. In addition, under a same substrate concentration (60 g/L), the cumulative concentration of the product 6NSL is increased by 10 g/L or more.
APPARATUS TO SIMULATE BIOCIDE PERFORMANCE IN CRUDE PIPELINE CONDITIONS
An apparatus to simulate biocide performance in crude oil pipeline conditions is disclosed. The apparatus includes: a reactor to simulate a two-phase crude oil pipeline which includes a crude oil phase above a water phase. The reactor has an agitator to control a flow of the water phase in the reactor in response to a motor that drives an agitation rate of the agitator. A crude oil inlet supplies crude oil to the reactor for the crude oil phase. A water inlet supplies water to the reactor for the water phase. A control circuit is configured by code to control a proportion of the water to the crude oil supplied to the reactor and to control the motor to drive a desired agitation rate of the agitator. A biocide inlet supplies biocide to the reactor. A water sample outlet enables sampling of the water phase of the reactor.
Process for the fermentation of Ascomycota
The present invention refers to a process for the fermentation of Ascomycota, a beta-glucan produced by the process and the use of the beta-glucan as rheology modifier
PREDICTING THE METABOLIC CONDITION OF A CELL CULTURE
A method for predicting the metabolic state of a cell culture of cells of a specific cell type includes providing a metabolic model of a cell of the specific cell type, and performing at each of a plurality of points in time during cultivation of the cell culture, receiving measured concentrations of a plurality of extracellular metabolites and a measured cell density in the culture medium; inputting the received measurements as input parameter values to a trained machine learning program logicMLP; predicting extracellular fluxes of the extracellular metabolites at a future point in time by the MLP; performing metabolic flux analysis to calculate the intracellular fluxes at the future point in time based on the predicted extracellular fluxes and the stoichiometric equations of the metabolic model.