+34 958 991 543 info@cloverbiosoft.com

Clover MS Data Analysis Software

AI-powered software for research on fast, accurate and cost-efficient Microorganisms Resistance Analysis and Strain Typing using both MALDI-MS and FTIR data

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ECCMID 2023

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ECCMID, as the world’s premier Clinical Microbiology & Infectious Diseeases event, brings together experts from many fields to present their latest findings, guidelines and experiences to an audience of over 14,000 colleagues.

Accepted Abstracts using

CLOVER MSDAS

FT-IR ATR spectroscopy for rapid and low-cost identification of clinically relevant Citrobacter species

The rapid and accurate identification of clinically relevant and often multidrug resistant Citrobacter species (i.e. Citrobacter freundii, Citrobacter portucalensis, Citrobacter braaki, Citrobacter koseri), is crucial for diagnosis and treatment of infections. However, the available clinical automated routine systems (e.g. MALDI-TOF MS/VITEK2) are not able to discriminate closely related Citrobacter species. In this pilot study, we aim to evaluate the accuracy of Fourier-Transform infrared (FT-IR) spectroscopy combined with multivariate data analysis for differentiation of Citrobacter species.

High molecular weight differentiation of clinically relevant Clostridioides difficile ribotypes using MALDI-TOF and Machine Learning

Clostridioides difficile is the most common pathogen in antibiotic-related diarrhea. Some C. difficile ribotypes have shown to be more pathogenic and/or involved in nosocomial outbreaks. The aim of this study was to develop a rapid MALDI-TOD MS method for the differentiation of relevant C. difficile ribotypes (027,181,078) based the analysis of high molecular weight proteins.

High molecular weight differentiation of Carbapenemase-producing Klebsiella pneumoniae isolates using MALDI-TOF MS

Matrix-Assisted Laser Desorption/ionization Time-of-flight Mass Spectrometry (MALDITOF MS) is widely used in clinical laboratories for bacterial identification but its applications are continuously growing. In this study we propose the use of MALDI-TOF MS and Machine Learning algorithms for the identification of Carbapenemase-producing Klebsiella pneumoniae isolates analyzing a high molecular weight region and using an organic matrix of Transferulic Acid (TF).

Multicenter evaluation of Fourier-Transform infrared (FTIR) spectroscopy for the typing of multiclonal clinical isolates of Klebsiella pneumoniae using Machine Learning Algorithms

Klebsiella pneumoniae is a bacterium which can spread in nosocomial settings and produce clinical outbreaks. Some K. pneumoniae Sequence Types (STs) are more likely to become multi drug resistant and its spread would be more hazardous. The objective of this study was to evaluate Fourier-Transform Infrared (FTIR) spectroscopy for the typing of relevant K. pneumoniae STs applying machine learning algorithms.

Clostridioides difficile ribotyping by Fourier-Transform Infrared Spectroscopy and Machine Learning

Clostridioides difficile is one of the most common pathogens in antibiotic-related diarrhoea. Some C. difficile ribotypes have shown to be more pathogenic and can be involved in nosocomial outbreaks. The objective of this study was to evaluate Fourier-Transform Infrared (FTIR) spectroscopy technique for the identification of relevant C. difficile ribotypes applying machine learning algorithms.

FT-IR ATR supporting infection control of carbapenemase-producing Klebsiella pneumoniae in real-time

Expansion of carbapenemase-producing Enterobacteriaceae (CPE) is driven by nosocomial dissemination, and effective infection control depends on timely and reliable epidemiological, clinical and molecular typing data. We evaluated our previously developed Fourier-transform infrared spectroscopy (FT-IR) automated workflow for real-time typing of Klebsiella pneumoniae (Kp) capsules (K) and subtypes to support infection control.

We are working on something big

And it is growing fast

WHAT YOU WILL FIND

Reproducibility studies

For the validity of biological and technical replicates

Antibiotic resistance analysis

Comparing with positive and negative controls

Group differentiation

Feature extraction: Strain class, resistance mechanism, bacteria type, etc

Samples identification

Strain typing prediction with custom database support

Multimodal data

Use MALDI-TOF MS, FTIR or a combination of both formats to extract the most out of your samples 

CLOVER MS DATA ANALYSIS SOFTWARE

THE POWER OF MASS SPECTROMETRY AND INFRARED SPECTROSCOPY TECHNOLOGIES ON ONE PLATFORM

CLASSIFICATION MACHINE LEARNING -ALGORITHMS

THE BEST SUPERVISED AND NON SUPERVISED ALGORITHMS UPDATED FOR CLASSIFY YOUR DATA

PARTIAL LEAST SQUARES ALGORITHM

RANDOM FOREST ANALYSIS

PRINCIPAL COMPONENT ANALYSIS

SUPPORT VECTOR MACHINES

K-NEAREST NEIGHBORS

HIERARCHICAL CLUSTERING

VALIDATE YOUR PREDICTION MODEL

CLOVER MS DATA ANALYSIS IS

Secure

Ubiquitous and reliable access

Ready for teamwork

Share your data and experiments with your work colleagues

Vendor agnostic

Import from all standard formats and from most common MS-FTIR-instruments in the market

Affordable

The right price, with the best support

TESTIMONIALS

This platform allowed us to create an automated workflow for FT-IR based strain typing. Flexible, easy-to-use and supported by an experienced team!

Ângela Novais, PhD

UCIBIO Requimte Researcher, Invited Assistant Professor at IUCS

CLOVER allows you to work with FTIR spectra in an easy, comfortable and simple way

Dr. David Rodriguez Temporal

Hospital General Universitario Gregorio Marañón

This software is unique in its ability to process and compare MALDI and FTIR data

Dr. Emmanuel Wey

Royal Free Hospital NHS Foundation Trust

CLOVER MS Data Analysis Software literally saved our project

Dr. Belén Rodríguez

Hospital General Universitario Gregorio Marañón

You will get all the help you need from Clover BioSoft to get the most of your mass spectra. Excellent software and excellent team behind to solve all your doubts!

Dr. Marina Oviaño García

Complexo Hospitalario Universitario A Coruña

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 868365

PREPROCESS YOUR SPECTRA

  • Smoothing
  • Baseline Subtraction
  • Variance Stabilization
  • Average Spectra Management
  • Mass Filtering
  • Spectra Alignment
  • Blank Removing
  • Peak Finding Algorithms

K-FOLD CROSS VALIDATION METRICS

Test your data and evaluate the algorithms and prediction models using clinical metrics like Sensitivity or Specificity

ROC AND PRECISION-RECALL CHARTS

Evaluate your methods or predictive models

SPECIFIC MODULES FOR BIOMARKER ANALYSIS AND OUTLIERS DETECTION

HEAT MAPS AND CHARTS

A large collection of resources and charts to achieve your goal

VIDEO TUTORIALS

Basic

  • Mass Spectrometry MALDI-TOF data
  • Mass Spectroscopy FTIR data
  • 2 users per organization
  • 500MB Storage per user
  • Machine Learning Algorithms
  • Prediction Models Validation
  • Basic analysis modules

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  • All Basic Features
  • 5 users per organization
  • Unlimited Storage
  • Advanced modules
  • Download High Quality images
  • Integration with other Clover Tools
  • Research and technical support

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Contact Information | Clover Bioanalytical Software

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(34) 958 991 543

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  • Edif. Centro de Empresas PTS.
  • Av. del Conocimiento, 41
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