Microbial Identification Systems (MIDI)

We offer here a group of product to help you identify bacterias,

The major component is Sherlock® : the software controling the GC, communicating with chemstation and analysing the data.


Fatty acid methyl ester analysis by gas chromatography (GC-FAME) has been used for over 50 years to identify microbes in environmental and clinical settings. FAME identification is a dynamic test of the organism. It is specific to growth conditions, including the media and temperature used. Different libraries are available for different growth conditions and custom libraries can be created based on the customer's unique environment. In addition to identification, FAME analysis is often sensitive enough to give strain level information for a sample.

The Sherlock Microbial Identification System (MIS) was launched in 1985 and represents a rapid, accurate and comprehensive solution for the identification of over 1,500 microbial species by FAME analysis. The Sherlock MIS is recognized by the U.S. CDC for the identification of aerobic bacteria and is AOAC INTERNATIONAL cleared for the identification of Bacillus anthracis, the anthrax pathogen. The Sherlock MIS was created by microbiologists for microbiologists, so no GC experience is necessary.

brochure MIDI

Different procedures can be used to extract the fatty acid methyl esters (FAME) from the bacteria. MIDI has developped faster, simpler methods over the years


Instant FAME

Ideal for Aerobe bacterias

instant fame

brochure MIDI

Instant Anaerobe FAME

Developed to Anaerobe bacterias

instant fame anaerobe

brochure MIDI



More efficient for gram negative bacterias


brochure MIDI

The system uses gas chromatographs, MIDI microbial databases and MIDI pattern recognition software to identify each strain

  • Identifies microorganisms by their fatty acid profile
  • Libraries Identify (Aerobes, Anaerobes, Yeast, Bioterrorism Agents)
  • Rapid Aerobe Analysis
  • Instant Fame Analysis
  • DNA sequence analysis

    Sherlock DNA

    Sherlock® DNA offers an array of features for bacterial/fungal identification and analysis.
    • 16S rRNA DNA-based microbial identification for bacteria.
    • 28S rRNA DNA-based microbial identification for fungi and yeast.
    • Validated libraries available for 500 base-pair and full-gene 16S bacterial identification,
    as well as 28S fungi/yeast identification.
    • Full integration with Sherlock's Microbial Identification System for fatty acid methyl
    ester (FAME) analysis of bacterial and yeast/fungal samples.
    • Combined reporting of DNA-FAME results.
    • DNA analysis tools for direct comparison of DNA samples.
    • Custom library development tools for creating additional libraries.
    The Sherlock DNA system begins where the sequencer leaves off: with a textual consensus
    sequence. The advantage of this approach is that Sherlock DNA can be used with any sequencer
    from any vendor.

    brochure MIDI

    3900 place de Java, Suite 108,  Brossard,  Quebec,  J4Y 0C4,  Canada  (450) 444-0085
    Copyright ©
    Warning: date(): It is not safe to rely on the system's timezone settings. You are *required* to use the date.timezone setting or the date_default_timezone_set() function. In case you used any of those methods and you are still getting this warning, you most likely misspelled the timezone identifier. We selected the timezone 'UTC' for now, but please set date.timezone to select your timezone. in /services/webpages/l/a/labsphere.biz/public/copyright.php on line 4
    2018 LabSphere ®