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Automated methods in the Microbiology Lab-Issues and Troubleshooting!

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Automated methods in the

Microbiology Lab-Issues and

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 Background/history

 Plate streakers and Gram stainers  Blood cultures

 Automated Susceptibility Testing

 Automated ID testing

 Automated Urine Analysers  Molecular assays

 MALDI-TOF

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Background

 Manual streaking of plates has not really changed since

solid agar plates were first used

 Microscopy is mostly unchanged

 Incubators while probably more reliable are essentially the

same

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Obstacles to automation in Microbiology

 Microbiology is too complex to automate: blood,

sterile body fluids, urine, catheter tips, tissues,

prosthetic devices, lower respiratory tract specimens

 Variations in the processing of specimens: tissue

digestion, urine colony count, impression smears preparation

 Machines are programmable but humans are flexible  Costs of automation

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Pre analytical

 Specimen separators  Media pouring

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Issues and solutions

 Sterility at every point or risk of contamination  Tubings need to be autoclaved

 U-V light needs to be regularly inspected and

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Conventional blood culture

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Blood Cultures

 Standard in most diagnostic labs, varying sizes.  Better detection times

 More advanced media

 Reduced total incubation before calling a bottle a

final negative

 Suppliers: BacT/Alert (BioMerieux), BACTEC FX

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Issues with blood culture systems

 False positives due to high TLC count  Continuous power supply needed

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Conventional ID and susceptibility testing

24-48

hours

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Automated ID and Sens

 Automated ID testing available since 1977

 Biochemical substrates miniaturised and read by

colorimetric or fluorometric means

 Available in many labs

 Multiple Antibiotics in different dilutions available on Cards or panels to ascertain MIC

 Suppliers: Microscan Walkaway (Dade Behring) Vitek2 (BioMerieux) BD Phoenix (BD)

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Issues with identification systems

 Pure culture

 Simple tests are not covered like oxidase, catalase,

motility, pigment production

 Variability of identification in rarer organisms  Only organisms covered in database

 Inoculum size can affect MIC interpretations

 MICs of some antibiotics are not actual MICs but

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Automated Urine Analysers

 Automated Dip-strip inoculation and reading

 Cell counts performed automatically – either by flow

cytometry or (more recently) high resolution optics taking pictures of cells

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Issues with urine analysers

 Back to basics

 Appropriate specimen collection  Early transport

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Molecular methods

 GeneXpert- not just for TB,  MRSA, C. difficile, etc.

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Issues with molecular methods

 Cannot differentiate live from dead

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MALDI-TOF(Matrix assisted LASER Desorption

Ionisation-Time of Flight Mass spectrometry)

 Protein based spectral identification of bacteria

 Identifications available in literally minutes – not hours

 Tiny amount of bacterial growth needed – not affected by media or incubation conditions

 Minimal cost per test (in cents not even dollars), virtually no consumables

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Issues with MALDI-TOF

 Pure culture

 In mixed cultures, will pick up the dominant

organism

 Antimicrobial susceptibility not possible  Viruses not identified

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Plate Streakers

 Select appropriate media

 Loads the samples

 Spreading the inoculum to obtain isolated single colonies following incubation

 Suppliers: WASP (Copan) Previ-Isola (BioMerieux) Innova

(BD) and Inoqula (KIESTRA)

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Way ahead………..

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Obstacles to automation in Microbiology

 Microbiology is too complex to automate: blood,

sterile body fluids, urine, catheter tips, tissues,

prosthetic devices, lower respiratory tract specimens

 Variations in the processing of specimens: tissue

digestion, urine colony count, impression smears preparation…….……….BUT THE SIMPLER

METHODS CAN BE AUTOMATED

 Machines are programmable but humans are flexible  Costs of automation

 Microbiology labs are small for automation...Not

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CONCLUSION-TWO QUOTES

“The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.”

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