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Accelerating Rapid Diagnostics
Vivian Monteban, September 2013
LumiByte
We catch microbes
accelerating rapid diagnostics
ultra fast
automated
optical
bacterial detection
Saving time = Saving lives
2sep-13
Clinical microbiology
• Shorten time till definitive treatment will:
– Decreased morbidity & mortality
– Decreased costs –
• decreased use of drugs,
• the need for isolation, and
• the use of additional laboratory and other
diagnostic studies.
– Shorter duration of stay in hospital
sep-13 3
Traditional workflow
sep-13 4
Sample collected
Microscopy
(often uninformative for
clinical purposes)
Pathogen(s) cultures
Antibiotic sensitivity
determined
(complex resistances may need
further confirmation)
Empirical
therapy
Definitive
therapy
Minutes to hours
24-48 hours*
24-48 hours*
*longer for slow growers e.g.
Mycobacterium spp.
•Total time: more then 2 days!
•Amplification increases error
•Can be difficult to take samples
100% sterile
•Speed up individual stages
•Combine
•Improve Emperical therapy
•Shorten time till definitive
treatment
sep-13 5
Sample collected
Sample enrichment/
Culturing
Antibiotic suseptibility
determined
(complex resistances may need
even further confirmation)
Day(s) to weeks*
Day(s) to weeks*
Report for QC
Therapy
sep-13 6
Day(s) to weeks*
Day(s) to weeks*
Report for QC
Antibiotic suseptibility
determined
(complex resistances may need
even further confirmation)
Sample enrichment/
Culturing
Sample collected Minutes to hours Report for QCTherapy 2-3 timepoints; 1 day
Therapy
Portfolio
• MuScan – single cell detection
• Colony Tracker– growth detection (R&D)
sep-13 7
Rapid Detection method
Filtrate Scanning Analyse
10 -60 minutes
8sep-13
MuScan – single cell detection
Applications
• Process monitoring
• Root cause analysis
• Hygiene screening and absence
testing (e.g. endoscopes)
Sample size
• Pure water: >1L
• Blood : currently 1ml
sep-13 9
White light Blue light Amber light Violet light
Key facts (WHO)
• Infections caused by resistant microorganisms often fail to respond to
conventional treatment, resulting in prolonged illness, greater risk of
death and higher costs.
• A high percentage of hospital-acquired infections are caused by highly
resistant bacteria such as methicillin-resistant Staphylococcus
aureus (MRSA) or multidrug-resistant Gram-negative bacteria.
• New resistance mechanisms have emerged, making the latest
generation of antibiotics virtually ineffective.
sep-13 10
Antimicrobial resistance
Fact sheet N°194
Updated May 2013
Emergence and spread of AMR (WHO)
Important factors that
accelerate the emergence and spread of AMR:
• weak or absent antimicrobial resistance surveillance and
monitoring systems;
• inappropriate use of antimicrobial medicines.
• insufficient diagnostic, prevention and therapeutic tools.
• lack of a comprehensive and coordinated response;
sep-13 11
Portfolio
• MuScan – single cell detection
• Colony Tracker– growth detection (R&D)
sep-13 12
Colony Tracker
The Consept:
• Monitoring individual bacterial micro-colony growth
• Growth based, ultra fast
• Antibiotic susceptibility testing
• Double infections easily recognized
Simplified image analysis
only colonies grow!
sep-13 13
Images provided by:
Alice den Hertog - KIT Biomedical Research
KIT - Tuberculosis
sep-13 14
Images provided by:
Alice den Hertog - KIT Biomedical Research
KIT - Tuberculosis
• Conditions can be changed after initial
growth detection
sep-13 15
Images provided by:
Alice den Hertog - KIT Biomedical Research
Emergence and spread of AMR (WHO)
Important factors that
accelerate the emergence and spread of AMR:
• weak or absent antimicrobial resistance surveillance and monitoring systems;
• inappropriate use of antimicrobial medicines.
• insufficient diagnostic, prevention and therapeutic tools.
• lack of a comprehensive and coordinated response;
sep-13 16
The Colony Tracker provides answers days
before standard methods!
Acknowledgment
– Alice den Hertog - KIT Biomedical Research
– Richard Anthony - KIT Biomedical Research
– Frank Fey – Center for Consepts in
Mechatronics, Nuenen
– Colin J. Ingham – MicroDISH, Houten
sep-13 17
Accelerating Rapid
Diagnostics
LumiByte B.V.
De Pinckart 24
Postbus 12
5670 AA Nuenen
Tel. +31 (0)88 1168600
www.lumibyte.eu
sep-13

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Accelerating Rapid Diagnostics

  • 1. Accelerating Rapid Diagnostics Vivian Monteban, September 2013
  • 2. LumiByte We catch microbes accelerating rapid diagnostics ultra fast automated optical bacterial detection Saving time = Saving lives 2sep-13
  • 3. Clinical microbiology • Shorten time till definitive treatment will: – Decreased morbidity & mortality – Decreased costs – • decreased use of drugs, • the need for isolation, and • the use of additional laboratory and other diagnostic studies. – Shorter duration of stay in hospital sep-13 3
  • 4. Traditional workflow sep-13 4 Sample collected Microscopy (often uninformative for clinical purposes) Pathogen(s) cultures Antibiotic sensitivity determined (complex resistances may need further confirmation) Empirical therapy Definitive therapy Minutes to hours 24-48 hours* 24-48 hours* *longer for slow growers e.g. Mycobacterium spp. •Total time: more then 2 days! •Amplification increases error •Can be difficult to take samples 100% sterile •Speed up individual stages •Combine •Improve Emperical therapy •Shorten time till definitive treatment
  • 5. sep-13 5 Sample collected Sample enrichment/ Culturing Antibiotic suseptibility determined (complex resistances may need even further confirmation) Day(s) to weeks* Day(s) to weeks* Report for QC Therapy
  • 6. sep-13 6 Day(s) to weeks* Day(s) to weeks* Report for QC Antibiotic suseptibility determined (complex resistances may need even further confirmation) Sample enrichment/ Culturing Sample collected Minutes to hours Report for QCTherapy 2-3 timepoints; 1 day Therapy
  • 7. Portfolio • MuScan – single cell detection • Colony Tracker– growth detection (R&D) sep-13 7
  • 8. Rapid Detection method Filtrate Scanning Analyse 10 -60 minutes 8sep-13
  • 9. MuScan – single cell detection Applications • Process monitoring • Root cause analysis • Hygiene screening and absence testing (e.g. endoscopes) Sample size • Pure water: >1L • Blood : currently 1ml sep-13 9 White light Blue light Amber light Violet light
  • 10. Key facts (WHO) • Infections caused by resistant microorganisms often fail to respond to conventional treatment, resulting in prolonged illness, greater risk of death and higher costs. • A high percentage of hospital-acquired infections are caused by highly resistant bacteria such as methicillin-resistant Staphylococcus aureus (MRSA) or multidrug-resistant Gram-negative bacteria. • New resistance mechanisms have emerged, making the latest generation of antibiotics virtually ineffective. sep-13 10 Antimicrobial resistance Fact sheet N°194 Updated May 2013
  • 11. Emergence and spread of AMR (WHO) Important factors that accelerate the emergence and spread of AMR: • weak or absent antimicrobial resistance surveillance and monitoring systems; • inappropriate use of antimicrobial medicines. • insufficient diagnostic, prevention and therapeutic tools. • lack of a comprehensive and coordinated response; sep-13 11
  • 12. Portfolio • MuScan – single cell detection • Colony Tracker– growth detection (R&D) sep-13 12
  • 13. Colony Tracker The Consept: • Monitoring individual bacterial micro-colony growth • Growth based, ultra fast • Antibiotic susceptibility testing • Double infections easily recognized Simplified image analysis only colonies grow! sep-13 13 Images provided by: Alice den Hertog - KIT Biomedical Research
  • 14. KIT - Tuberculosis sep-13 14 Images provided by: Alice den Hertog - KIT Biomedical Research
  • 15. KIT - Tuberculosis • Conditions can be changed after initial growth detection sep-13 15 Images provided by: Alice den Hertog - KIT Biomedical Research
  • 16. Emergence and spread of AMR (WHO) Important factors that accelerate the emergence and spread of AMR: • weak or absent antimicrobial resistance surveillance and monitoring systems; • inappropriate use of antimicrobial medicines. • insufficient diagnostic, prevention and therapeutic tools. • lack of a comprehensive and coordinated response; sep-13 16 The Colony Tracker provides answers days before standard methods!
  • 17. Acknowledgment – Alice den Hertog - KIT Biomedical Research – Richard Anthony - KIT Biomedical Research – Frank Fey – Center for Consepts in Mechatronics, Nuenen – Colin J. Ingham – MicroDISH, Houten sep-13 17
  • 18. Accelerating Rapid Diagnostics LumiByte B.V. De Pinckart 24 Postbus 12 5670 AA Nuenen Tel. +31 (0)88 1168600 www.lumibyte.eu sep-13

Editor's Notes

  1. LumiByteEstablished: December 28, 2012Located: De Pinckart 24, NuenenSpin out of CCM:To date: shares 100% CCM Beheer
  2. The primary biomass of this planet consists of bacteria. It’s the most prevalent cell type in and on the human body outnumbering our own cells. Most are beneficial or even essential for our wellbeing.  On the other side, bacteria are responsible for more human deaths than any other infectious agents; and -in some parts of the world- they are the premier cause of all deaths.
  3. Figure 4: conventional steps in microbial diagnostics. Time to result is determined by sample enrichment/culturing steps that take day(s) to weeks. Antibiotic susceptibility testing is routinely done to determine definitive antibiotic therapy in a medical setting; doubling time till definitive therapy.
  4. : the LumiByte solutionsrevolutionizemicrobialdiagnostics. LumiByte reveals the sameanswersdaysfasterthanconventionaltechniques.
  5. The development of AMR is a natural phenomenon. However, certain human actions actually accelerate the emergence and spread of AMR. AMR is a complex problem driven by many interconnected factors so single, isolated interventions have little impact and coordinated actions are required.
  6. The discovery of antibiotics in the 1930s shifted medical practice from mere diagnosis to a treatment-focused approach that saved lives.  But bacteria have since adapted; resistant bacterial strains are on the rise. How will we combat antibiotic resistance?In this presentation our sister company LumiByte will introduce a new method to monitor microbial growth of individual colonies long before visible with the naked eye.  With this system we are able to identify and follow the growth of individual microcolonies and measure the effect of antibiotics.