We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Automated Imaging Speeds Up Infectious Disease Diagnosis

By LabMedica International staff writers
Posted on 27 Oct 2016
Automated Plate Assessment System (APAS) is a breakthrough artificial intelligence technology for the automated imaging, image analysis, interpretation and reporting of growth on microbiology culture plates after incubation.

Thousands of agar plates are assessed in busy laboratories every day and currently each one has to be examined by a microbiologist for the presence of significant bacterial colonies. More...
APAS automatically screens, interprets and sorts these plates, freeing up the plate reading bottleneck in laboratory workflows and microbiologists’ time and enabling faster time to patient results.

The US Food and Drug Administration (FDA, Silver Springs, MD, USA) have given 510(k) de novo submission clearance for the APAS as a class II device. The 510(k) de novo submission used a manual version of APAS to test 10,000 patients in a series of clinical trials conducted in Australia and the USA over a 12-month period. In each trial, APAS achieved its target primary endpoints and the results matched or exceeded the findings of a panel of experienced microbiologists.

The APAS was developed by LBT Innovations (Adelaide, Australia), and has been licensed on a global, exclusive basis to Clever Culture Systems AG (CCS, Bäch, Switzerland), which is integrating APAS with laboratory robotic instrumentation. CCS plans to bring APAS to market in 2017 as an automated stand-alone plate reader (APAS Independence) closely followed by the integrated incubator (APAS Incubot).

Brent Barnes, CEO of LBT Innovations, said, “FDA clearance follows rigorous interrogation and validation of the capabilities of APAS. The successful clinical trial program completed in 2015 and clearance by FDA also validate the underlying technology that is the core platform of our Company's vision to integrate imaging with interpretative intelligence to deliver faster and more secure diagnoses for patients. FDA clearance is a fitting tribute to the many years of painstaking work by LBT's staff and partners, who together have made our shared vision a reality.”

Related Links:
US Food and Drug Administration
LBT Innovations
CCS


New
Gold Member
Aspiration System
VACUSAFE
New
Gold Member
Nucleic Acid Extractor System
NEOS-96 XT
New
HPV Test
Allplex HPV28 Detection
New
Immunofluorescence Analyzer
IFA System
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image

Urine-Based Multi-Cancer Screening Test Receives FDA Breakthrough Device Designation

Early detection across multiple cancers remains a major unmet need in population screening. Non-invasive approaches that can be delivered at scale may broaden access and shift diagnoses to earlier stages.... Read more

Molecular Diagnostics

view channel
Image: The new approach focuses on CpG DNA methylation, a chemical modification of cytosine and guanine bases, using tumor samples to develop a computational model that distinguishes among 21 cancer types (photo credet: 123RF)

Machine Learning Model Uses DNA Methylation to Predict Tumor Origin in Cancers of Unknown Primary

Cancers of unknown primary (CUP) are metastatic malignancies in which the primary site cannot be identified, complicating treatment selection. Many patients consequently receive broad, nonspecific chemotherapy... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.