A processor implemented method of detecting a concentration of plurality of chemical residue in an agricultural produce is provided. The method include (a) receiving, by a hyper spectral device, a data set associated with one or more reflectance measurements of the agricultural produce; (b) determining, data associated with a plurality of bands; (c) dynamically reiterating, the steps (a) and (b) at predetermined time interval to obtain a trained dataset; (d) determining, relevant wavelengths among the selected trained data sets based on a feature selection technique to form an array of emitters; (e) calibrating, by the identified array of emitters, to emit light on the detecting region of one or more sample of the agricultural produce to obtain data associated with reflectance and transmittance; and (f) calculating, a calibration index with a de-multiplication flag to detect presence or absence of the plurality of chemical residue in the agricultural produce.

The invention relates to a method for improving the screening of histological samples, especially samples that may include cancerous or precancerous cells, or cells having other disease states. The method involves analysing a sample obtained from a subject and comprises the steps of providing the spectra produced by scanning the sample using FTIR spectroscopy and identifying or sorting the cells in the sample according to the spectrum each produces.

A method for measuring process parameters in liquid cultures in a plurality of microreactors of at least one microtiter plate includes continuously agitating the liquid cultures using an orbital agitator at least until the reaction is completed in all the microreactors. In order to allow process parameters also of such substances which themselves do not have any fluorescence activity to be measured with relatively low complexity and within a short time, 2D fluorescence spectra are recorded in a plurality of in particular different liquid cultures in the microreactors of agitated microplates. A device for carrying out the method is also disclosed.

A method of detection of a status of cells within a cell culture is described. The method is based on comparing an IR spectrum of a test sample obtained from the cell culture with an IR spectrum of a control sample or samples or with an IR spectrum of a sample or samples obtained at an earlier time point in the cell culture and correlating differences between the spectra with the status of the cells. The status may be classified into healthy or unhealthy. The test sample may or may not contain cells. The test sample may contain cell fragments, cell components or cell media, or may be cell supernatant. The comparison may be performed using a predictive model based on pattern recognition algorithms, such as support vector machines SVM, linear discriminant analysis LDA, principal component discriminant function analysis PC-DFA, neural networks, or random forests). The analysis results may be used to monitor and/or control the cell culturing process.

A suitable fluorescence separation method is set according to an object to be measured. An information processing device according to an embodiment includes a separation unit (14) that calculates, from a fluorescence signal measured from a biological sample labeled with one or more fluorescent dyes, fluorescence intensities of one or more fluorescent beams and an autofluorescent beam emitted from the one or more fluorescent dyes and the biological sample, respectively, by an arithmetic operation using a least squares method using a fluorescence spectrum reference of each of the fluorescent dyes and an autofluorescence spectrum of the biological sample. In the arithmetic operation using the least squares method, an upper limit value and a lower limit value of the fluorescence intensity are set for each of the one or more fluorescent beams and the autofluorescent beam.

An etalon-based mid-infrared probe can be configured for spectroscopic tissue discrimination, such as between non-normal (e.g., cancerous) and normal (e.g., healthy) tissue. A broadband light source can be applied to the etalon to generate fringes at spectroscopic wavelengths of interest, which can be delivered to a tissue specimen via a fiber loop probe. A response signal can be spectral dispersed across a parallel array of detector pixels, such as using a diffraction grating, and signal processed for performing the tissue classification. A learning model can be trained, using full IR spectral data, for applying a reduced set of wavelengths for performing the spectroscopic tissue analysis and classification.

Disclosed is a method of quantifying virus titer in a sample using Raman spectroscopy. This method comprises providing a sample; providing a model for determining viral titer in the sample; irradiating the sample with a light source; and acquiring a Raman spectrum of the sample. The method further involves quantifying the viral titer of the sample by applying a virus component of the Raman spectrum to the model for determining viral titer. Other aspects of the disclosure relate to a method for generating a model suitable for quantifying viral titer in a sample.

Presented is a sample gas analysis device that reduces a measurement error due to a coexistence influence of another measurement target component different from the measurement target component, analyzes a concentration of a plurality of measurement target components in a sample gas by performing multivariate analysis using a spectroscopic spectrum obtained by irradiating the sample gas with light, and includes a library data storage configured to store library data including a plurality of spectrum data corresponding to a plurality of the measurement target components used for the multivariate analysis, and a concentration calculator configured to calculate the concentration of the plurality of measurement target components in the sample gas by the multivariate analysis using the plurality of library data stored in the library data storage.

The present invention relates to a method of predicting a performance characteristic of a plant or yeast hydrolysate, wherein a plant or yeast hydrolysate sample is measured with 2D fluorescence spectroscopy in powder form. Said method comprises the steps for providing a model based on a predetermined value of a manufacturing parameter of interest. For this purpose a training set consisting of predetermined manufacturing parameter of interest (e.g volumetric productivity parameter, virus titer or cell number) and fluorescence spectroscopic data is used. The fluorescence spectroscopic data is correlated to the values of the manufacturing parameter of interest to obtain a calibration model/model parameters by applying multivariate data analysis. This calibration model is being used to predict the manufacturing parameter of interest for new samples dedicated for the manufacturing process. This prediction is used for a decision to accept or reject the lot which corresponds to the respective sample for use in the manufacturing process or for further evaluation depending on the pre-defined range of the manufacturing parameter of interest. The invention further relates to a method for preparation of a cell culture medium, preferably an animal protein free cell culture medium, a method for cultivating cells, a method for producing a recombinant target protein, a method for producing an immunogenic composition, whereby the above method of predicting a performance characteristic has been used for selecting the plant or yeast hydrolysate to be used in the manufacturing process.

In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.