Biomerieux, Inc.

Commissariat &#xc0; L'&#xc9;nergie Atomique Et Aux &#xc9;nergies Alternatives

Denis Desseree

Maud Arsac

Pierre-Jean Cotte-Pattat

Grégory Strubel

Frédéric Pinston

Dominique Decaux

Pierre Mahe

Corine Fulchiron

Lorène Allano

Guillaume Boissier

Lorette Lapierre

Léontine Jacolin

Christophe Tachier

Guillaume Sutra

A method of identifying a microorganism by mass spectrometry, including acquiring at least one mass spectrum of said microorganism; for each acquired mass spectrum: detecting peaks of the spectrum in a predetermined mass range; generating a list of peaks identifying at most one peak in each interval of a predetermined subdivision of the range of mass-to-charge ratios, the width of the intervals of the subdivision logarithmically increasing along with the mass-to-charge ratio, and analyzing the list(s) of peaks obtained according to a knowledge base of previously-identified microorganisms and/or types of microorganisms.

Method for identifying microorganisms by mass spectrometry

An identification by mass spectrometry of a microorganism from among reference microorganisms represented by reference data sets includes: determining a set of data of the microorganism according to a spectrum; for each reference microorganism, calculating a distance between the determined and reference sets; and calculating a probability ƒ(m) according to relation where: m is the distance calculated for the reference microorganism; N(m|μ,σ) is the value, for m, of a random variable modeling the distance between a reference microorganism to be identified and the reference microorganism, when the microorganism is the reference microorganism; N(m|,) is the value, for m, of a random variable modeling the distance between a microorganism to be identified and the reference microorganism, when the microorganism is not the reference microorganism; and p is a scalar in the range from 0 to 1.

Method for identifying microorganisms by mass spectrometry and score normalization

An identification by mass spectrometry of a microorganism from among reference microorganisms represented by reference data sets includes: determining a set of data of the microorganism according to a spectrum; for each reference microorganism, calculating a distance between the determined and reference sets; and calculating a probability f(m) according to relation where: m is the distance calculated for the reference microorganism; N(m|&#x3bc;,&#x3c3;) is the value, for m, of a random variable modeling the distance between a reference microorganism to be identified and the reference microorganism, when the microorganism is the reference microorganism; N(m|,) is the value, for m, of a random variable modeling the distance between a microorganism to be identified and the reference microorganism, when the microorganism is not the reference microorganism; and p is a scalar in the range from 0 to 1.

Method for identifying microorganisms via mass spectrometry and score normalization

An imaging system for generating images of biological samples having a surface, the system comprising: a sample support for supporting a biological sample in use; a plurality of illumination sources, the plurality of illumination sources being arranged around the sample support and each adapted to illuminate the biological sample, in use, from a different direction; an image capture device for capturing illumination which has impinged on the biological sample to thereby form an image of the sample; wherein at least one of the illumination sources direction is not perpendicular to the surface of the sample.

Imaging method and system for analyzing in-vitro biological samples

A method for enhancing an image of a biological sample, which biological sample has been grown in a vessel on a culture medium.

Bio-imaging method and system

Growing community of inventors

Montluel, France

Denis Desseree