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How to process hyperspectral images ?

During this webinar, Julien Boyer from Ondalys and Mathieu Marmion from Specim, a manufacturer of hyperspectral imaging solutions, will present everything you need to know to optimize the acquisition and processing of hyperspectral images.

Discover step by step the methodology for analyzing hyperspectral images, from their acquisition, to the application of chemometrics / Machine Learning methods to images, including image processing methods for their segmentation.

• What’s a hyperspectral image ?
• Recommendation for image acquisition
• Hyperspectral image analysis methodology
• Application example for quantitative prediction
• Questions / Answers

Come and listen to the experts in Machine Learning and hyperspectral imaging, from Ondalys and Specim :

Julien Boyer – Ondalys and Mathieu Marmion – Specim

accompanied by Alice Croguennoc and Jordane Poulain – Ondalys

Webinar registration

This webinar will be illustrated by a practical case of hyperspectral image processing carried out using SOLO+MIA from our partner Eigenvector Research Inc.

The application example presented comes from our collaboration on the VINIoT SUDOE project supported by INRAE and l’Institut français de la vigne et du vin (IFV).

Ondalys is a reseller of chemometrics, machine learning and hyperspectral image analysis software from Eigenvector Research Inc.

If your are interested in MIA_Toolbox or MIA+SOLO software, image processing software, contact-us.

To go further… What is the analysis of hyperspectral or multispectral images and how is Machine Learning interesting in the processing of these images?

A hyperspectral (or multispectral) imager is an imaging system for acquiring images in which each pixel contains data representing a broad electromagnetic spectrum (for example near infrared, infrared, Raman spectrum). Unlike traditional imaging which records only three spectral bands (red, green and blue) and only allows spatial analysis of colour, hyperspectral imaging records hundreds of spectroscopic wavelengths, allowing chemical analysis of products. This is why hyperspectral imaging is also called chemical imaging.

So, if you want to collect the same chemical information as that of a near-infrared spectrometer but spatialized, then a near-infrared hyperspectral imager is the suitable sensor! Because it makes it possible to obtain spatial chemical information, which is very useful in the case of heterogeneous samples (heterogeneous solid samples, powders, mixtures, etc.).

This technique finds applications in many industrial fields such as agriculture, the pharmaceutical and chemical sectors, remote sensing, and scientific research. For example, in agriculture, hyperspectral image analysis can detect crop diseases, optimize fertilizer use, and monitor plant growth. In the pharmaceutical industry, particularly in the quality control of raw materials and finished products, hyperspectral imaging makes it possible to characterize the homogeneity of powders and detect the presence of agglomerates, verify the integrity of lyophilisates of biotechnology products, prove the tablet compliance. In the field of environmental monitoring and remote sensing, it can detect and monitor water, air and soil pollution.

Hyperspectral image analysis has many advantages over traditional imaging techniques. It allows more precise identification of products based on their chemical composition, better discrimination between visually similar products, and more sensitive detection to subtle changes such as particle size or molecular composition. However, manually analyzing these images can be time-consuming and tedious, requires extensive expertise and is sometimes simply impossible! This is where chemometric methods and Machine Learning applied to spectroscopy and imaging come in to enable this analysis and provide classification results (e.g., compliant or non-compliant tablet) or quantification results (e.g. example, the distribution of sugar concentration in the grains of a bunch of grapes).

The post November 28, 2023 – Webinar on hyperspectral image processing appeared first on Ondalys.

Member of MabDesign, Ondalys will attend this congress in Lyon

The Bioproduction Congress is the yearly event of the biopharmaceutical production field where european stakeholders gather together to discuss about the latest innovations in bioprocessing.

Machine Learning and data analysis (Chemometrics), play a crucial role in improving bioproduction.

Experts in data analysis and Machine Learning, we developed a strong experience in the field of biotechs industry. These skills allow us to decipher the complex data of the biomedicine industry and offer solutions for process optimization.
With our expertise, we offer tailor-made and innovative solutions that help biotechnology companies solve production problems, optimize yields and make informed decisions.

Look at our know-how for biotechs and biopharmaceuticals industries :

– Machine Learning and data analysis for your PAT and QbD procedures
– the supervision of industrial bioprocesses

 MabDesign is the French biotherapy industry association. Founded in 2014, MabDesign aims to structure the biopharmaceutical industry in France from the R&D stages to production and marketing of biopharmaceuticals. It also aims to support the creation of innovative startups from academic research.

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This 16th edition of the Freiburger Symposium, organized by the SCS Division of Industrial & Applied Chemistry (DIAC), will focus on the industrial aspects of the world of Chemistry, especially on transition from the laboratory to the production line and will highlight :

From Lab to Industrial Application
Trends/Innovation in Process Chemistry & Technology

Come and visit Ondalys team o nour booth to discuss the issues of data analysis and Machine Learning with for the scale-up from the laboratory to industrial production.

Expert in Data Analytics and Machine Learning, the Ondalys team masters the various tools and methods for processing instrumental data in industry, from linear models to the most complex systems such as artificial neural networks (ANN).

Every 2 years, this symposium, organized by the Division Industrial and Applid Chemistry of the Swiss Chemical Society –SCS, provides its universitary and industrial members and other interested chemists working in process and product development and production with opportunities for professional development.

The symposium will deal with Process and Automation – Micro-reactor, Continuous Reaction, Modelling, Data Science (Big Data), Manufacturing Digitalization, In-line, real time Production Analysis (PAT: FT-NIR, FT-IR, Raman, including models & algorithms).

The post 27 – 28 April 2023, Freiburger Symposium appeared first on Ondalys.

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Co-organised with Université de Liège (ULiège), the annual international 2-day conferences “Green Chemistry – White Biotechnology” will be held next 28 and 29 September in Liège, Belgium. In 2022, the focus will be on:

Digital Transformation:
Innovation Booster for Green Chemistry and White Biotechs

Sébastien Preys, from Ondalys, is invited at this conference to speak about :

He will present 2 specific applications using Machine Learning (ML) and Artificial Intelligence (AI) for Green Chemistry and White Biotechs customers:

• Proof of Concept using handheld NIR (Near Infrared) instruments for raw material quality control in winemaking, by measuring pectin content in an enzymatic process
• Implementation of several ML predictive models aiming at real-time in-process control for a polymer Green Chemistry process.

Indeed, Ondalys team is expert in Chemometrics – Data analysis – and Machine Learning for Green Chemistry and White Biotechjs fields.

This conference aims to screen the digital technology used to boost activities in the fields of green chemistry and white biotechnology around the world, share knowledge and encourage the creation of new R&D projects.

To know more on the GreenWin conference.

Have a look to our services dedicated to Industry 4.0.

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Come and attend ChemSchool,
the SensorFINT Summer School
from 5^th to 9^th Sept, 2022.

This Chemometrics School, jointly organized by SensorFINT, INRAe institute and Ondalys, in Lazaret center, in Sète ( close to Montpellier), proposes advanced training sessions in multivariate data analysis. These courses will be given by Europeans experts in Chemometrics.

ChemSchool objectives

This training session on multivariate data analysis- Chemometrics is intended for people wishing to:

he training session proposes alternatively theoretical method principles and practical exercises using the ChemFlow software, with the possibility to use also Matlab^®, Scilab, R and Julia toolboxes.

Pre-requisite

This training week is dedicated to people :

• having good knowledge in spectroscopy and used to work with spectral data
• used to practice on basis chemometrics methods i.e., able to calibrate a PLS, to carry out a PCA…

ChemSchool program

Introduction

• Introduction to the tools (ChemFlow)

PCA Theory & application – Tom Fearn – 2 half days

• Classical case (low inter correlation)
• Spectral case (high inter correlation)
• Outlier detection
• Loading interpretation
• Pretreatment selection

Unsupervised Challenge: choosing the best pretreatments, detecting outliers, structure, etc. without any model

Upload
the program

Modelling & Validating – Marina Cocchi & Jean Michel Roger – 3 half days

• PLS Algorithm without maths
• Notion of dimension
• Figures of meritTuning of dimension CV
• Modelling workflow
• Preprocessings
• Case studies, including fails

Supervised Challenge: tune the best model, on the data preprocessed in session 2,
test on unknown samples
Discussion

ANN based methods – Federico Marini & Eric Latrille – 1 half day

• Introduction about ANN, self-organizing maps or GTM alternative method
• Application on data set and software

Non-linear Methods – Matthieu Lesnoff – 1 half day

• Local methods
• Application on data set and software

Final Challenge – 1 half day

Teachers

Tom Fearn, from UCL – London’s Global University,UK

Tom Fearn is Professor of Applied Statistics in the Department of Statistical Science at UCL in London. His main research area is chemometrics, and in particular its applications to quantitative calibration and classification problems in NIR spectroscopy. He received the Tomas Hirschfeld award for contributions to NIRS in 2001 and is Immediate Past President of the International Council for Near Infrared Spectroscopy.

Federico Marini, from La Sapienza Università di Roma, Italy

Prof. Marini completed his PhD in 2004. In 2006, he was awarded the Young Researcher Prize from Italian Chemical Society and in 2012 he won the Chemometrics and Intelligent Laboratory Systems Award “for his achievements in chemometrics”. His research activity is focused on all aspects of chemometrics, ranging from the application of existing methods to real world problems in different fields to the design and development of novel algorithms. He is the past-coordinator of the Chemometric group of the Italian Chemical Society, and currently the vice-president of Italian NIR society and the coordinator of the Chemometric study group of EUCheMS.

Marina Cocchi from University of Modena and Reggio Emilia, Italy

Marina Cocchi is at present Associate Professor of Analytical Chemistry at University of Modena and Reggio Emilia. She got the PhD degree in Chemical Sciences in 1992 at the same University. Author of more than 100 publications on International Journals and books (H-ind 27, 2246 cit., Scopus). Main research topics: Multivariate, Multi-way and Multiset methods; Data Fusion; Feature selection; MSPC; Food Authenticity; Chemical fingerprinting by spectroscopy (MIR, NIR, NMR) and chromatography; Multivariate calibration; Experimental Design. She is member of editorial Board Chemometrics and Intelligent Laboratory Systems, and of Advisory Board of Comprehensive Chemometrics, Wiley, 2nd Ed.

Jean Michel Roger from INRAE, France

Jean-Michel Roger focused is research on the robustness problem. In 2003, simultaneously with Prof. Tom Fearn, he proposed a new generic method called External Parameter Orthogonalization (EPO) which permits to eliminate specific spectral effects from the NIRS calibration and thus to solve certain problems of robustness.  He is also involved in the design of portable or online spectrometers using filters technology. In this aim, he developed a method (CovSel) that allows to select wavelengths with regard to multiple responses. He has created ChemHouse, a chemometrics research group, forge of the ChemFlow software (see https://chemproject.org).

Matthieu Lesnoff from CIRAD, France

Matthieu Lesnoff is biometrician at the Selmet (Mediterranean and tropical livestock farming systems) research unit in CIRAD. In chemometrics, he specializes in non-linear prediction methods, in particular on locally weighted PLSR approaches. He is actually in charge of developing a web platform for automated predictions of the composition of tropical forage compositions in CIRAD. He is member of the ChemHouse research group in Montpellier (https://chemproject.org) and has developed several chemometrics free packages in R and Julia languages (rchemo and Jchemo: https://github.com/mlesnoff ).

Software practice supervisors

Jean Claude Boulet

UMR SPO, INRAE Montpellier, France

Gilles Chaix

UMR AGAP, CIRAD Montpellier, France

Martin Ecarnot

UMR AGAP, INRAE Montpellier, France

Eric Latrille

UR LBE, INRAE Montpellier, France

Virginie Rossard

UR LBE, INRAE Montpellier

Venue & Accomodation

The ChemSchool will be held in The Lazaret center located at La Corniche,  223 Rue Pasteur Benoît,  34200 Sète, France

GPS Coordinates : 43°23’40.01 » N / 3°40’26.60 » E

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In the frame of the Projet Call “Biomedicine: improving yields and control production costs” of the Grand Défi Bioproduction, the ACCESS (Advanced Cell Control by Spectroscopic Sensors) R&D project, received a favorable funding from BPI France to meet the societal challenge of producing Innovative Therapy Medicines at lower costs.

The ACCESS project aims to optimize Mesenchymal Stem Cell (MSC) cultures in a bioreactor through on-line production control, based on innovative in-line optical sensors, Machine Learning algorithms and automated real-time feedback coupled with a digital twin and a Quality-by-Design (QbD) approach for process modeling.

The consortium of this collaborative project is composed of the integrator MTInov and 5 complementary partners: INDATECH – Chauvin Arnoux group, Ondalys, Cybernano, Ypso Facto and StemInov.

This project will make it possible to structure an integrated French QbD / PAT offer with European influence for the control of all types of adherent cell cultures in biotechnology, thanks to suppliers of complementary products and services, ranging from process modeling (Ypso Facto, Cybernano ) up to the industrial implementation of online control (INDATECH, Ondalys, Cybernano).

To know more about Ondalys expertise in Process Supervision in the frame of Industry 4.0.

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Regular sponsor of the event, the Ondalys team will, once again, participates to the French Chimiométrie conference.

Come and visit us on our booth !

Each year, this congress focuses on data analysis and modeling issues as well as on design of experiments (DoE) methods.

This will be an opportunity to discuss the latest advances in terms of Chemometrics and Machine Learning. Come and discuss with us about your issues and the latest news in the world of data analysis and data science

Look at the program of the French Chimiométrie Congress (in french).

This year, the conference is organized in Brest by the University of Western Brittany, with the participation of students from the CACQ-OPEX master’s degree (Analytical Chemistry, Chemometrics and Quality)

Ondalys offers services and training in data analysis. Ondalys also distributes some of the most widely used and recognized chemometric software, such as the PLS_Toolbox® and the SOLO® software for Chemometrics, the MIA Toolbox® for hyperspectral image analysis or Design-Expert® software for Design of Experiments.

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As part of the French Project Call “Grand Défi Biomédicaments” CLIMBIN, a collaborative R&D project, obtained funding from BPI France to meet the societal challenge of producing new biotherapies and production tools.

CLIMBIN aims to develop an innovative process analytical control solution that addresses the issue of optimizing and automating cell culture systems, in USP (upstream process) and DSP (downstream process). This solution will allow CDMOs (Contract Development and Manufacturing Organization) to reduce their production times and costs and thus make therapeutic products accessible to the greatest number of patients.

This collaborative project is carried out by the NMNS laboratory -of the University of Tours, the LRGP laboratory of the University of Lorraine / CNRS, the Bio3 of the University of Tours (IMT Group), Ondalys, INDATECH – Chauvin Arnoux Group, and the Servier pharmaceutical group.

This project provides for the hiring of around ten people in R&D, design and services.

The development of biotherapies (recombinant proteins, antibodies, vaccines) and drugs for innovative therapy (drugs for gene therapy, drugs for somatic cell therapy, drugs from cell or tissue engineering, combined drugs for innovative therapy) is a real opportunity to better care for patients.

The post October 2021 – The CLIMBIN project, laureate of the French Project Call “New biotherapies and production tools” appeared first on Ondalys.