THE COMPLETE, CUSTOMIZED ANALYTICAL LABORATORY WORKFLOW SOLUTION
Laboratory Information Management for Failure Analysis Labs
Quartz FA-LIMS: Failure Analysis Laboratory Information Management System
Most conventional LIMS systems do not handle images well. Images, however, are the primary output from most failure analysis labs. Therefore, at Quartz, we've used our imaging expertise to develop an image-centric LIMS system specifically for failure analysis.
Solutions to streamline your laboratory's operations
- A Job is submitted to the lab by an engineer at his or her desk using a web browser. A bar-coded job submission form is printed and attached to the samples. The samples are sent to the lab.
- The job request is reviewed by the lab manager and assigned to an analyst.
- The laboratory analyst receives the samples and scans the bar code. The job information is instantly retrieved and made available for review by the analyst. The analyst doesn't have to type anything in.
- The analyst begins to investigate the samples, saving images to the database.
- The engineer is curious about the status of the job, so goes to the browser and checks the job status. The status indicates that it is Active, meaning that it is being worked on now. Images that have already been saved are available for viewing immediately.
- Should interaction between the analyst and engineer be required, PCI Collaboration permits the engineer to have a live view of the instrument.
- The analyst completes the job and changes the status to Done.
- A report, based on a predefined report template, is automatically generated.
- The job is reviewed by the lab manager who releases it from the lab.
- An e-mail advising that the job is released is automatically sent to the engineer.
- The engineer reviews the report and adds his or her own findings. The report is submitted to the database and the job is marked as closed.
- Months later, customer returns of this lot number are above average. Management orders a review. Simply by searching for the lot number, all relevant data can be easily retrieved.
- Next year, the engineer is reviewing another job — something looks familiar about the green precipitate. Doing a keyword search on "green precipitate" turns up 60 images from work done over the past three years and the report which describes what may be the problem.