Rapid Bacterial ID & Resistance Profile from Blood Culture
Bloodstream infection kills. The bottleneck is time.
When bacteria enter the bloodstream it can rapidly become life-threatening. Every hour without the right antibiotic increases the risk of organ failure and death.
Traditional lab methods grow bacteria in a bottle then run culture-based tests. Identifying the organism and its drug resistance typically takes 24–72 hours.
Broad-spectrum antibiotics are prescribed when a patient presents with bacteraemia. Resistance genes can render this ineffective; sensitive organisms can make it an overreaction. In both cases BaseTrack finds the answer sooner and improves patient care.
Rapid PCR can only detect a pre-set list of targets — it cannot identify novel resistance mechanisms or organisms outside its fixed panel. PCR platforms also carry significantly higher capital and running costs than BaseTrack.
From positive blood culture to report in 4–10 hours.
A laboratory incubator detects bacterial growth in the patient's blood culture bottle — the starting signal for the BaseTrack workflow.
The sample is processed using bead-beating and a specialist extraction kit to isolate pure DNA for sequencing.
DNA is loaded onto an Oxford Nanopore MinION — a palm-sized device that reads DNA in real time, streaming data to the cloud.
Algorithms identify the organism and scan for over 2,500 resistance genes across the streamed data.
A structured report names the pathogen and flags resistance markers — days before conventional culture results.
4–10 hours versus 24–72. Every hour saved is clinically significant.
Detects CRE, MRSA, VRE and more — before cultures are needed.
De-escalation from broad-spectrum antibiotics to the right drug sooner.
Unlike fixed-panel PCR, WGS detects any organism. Databases update as threats emerge.
William Hendy is an HCPC-registered Biomedical Scientist with 15 years' experience in clinical microbiology across Ireland and the United Kingdom. His career spans the full spectrum of diagnostic settings — from large centralised hub laboratories to small remote facilities — encompassing NHS, HSE, and private environments. As CEO and co-founder of BaseTrack, he leads on scientific design, regulatory strategy, clinical validation, and commercial strategy.
Alastair Mackie is a software engineer with over a decade of experience building cloud-native, data-intensive platforms across healthcare, logistics, and e-commerce. He specialises in Node.js microservice architecture, AWS infrastructure, and NoSQL data systems. Prior to engineering, Alastair worked in corporate banking and M&A strategy — bringing a commercially grounded perspective to the go-to-market realities of a MedTech product like BaseTrack.