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
RANDOX LABORATORIES

Download Mobile App




Sample Card Punching Workstation Provides High-Throughput Sample Prep

By LabMedica International staff writers
Posted on 22 Nov 2012
Print article
Image: The easyPunch STARlet workstation (Photo courtesy of Hamilton Robotics).
Image: The easyPunch STARlet workstation (Photo courtesy of Hamilton Robotics).
A new laboratory workstation has been developed to minimize human error and enables high-throughput sample preparation for a range of applications, such as forensic reference databasing as well as preclinical and clinical drug metabolism and pharmacokinetics (DMPK) and toxicology studies.

Hamilton Robotics (Reno, NV, USA) in collaboration with GE Healthcare (Chalfont St. Giles, UK) Life Sciences introduces the easyPunch STARlet workstation, the first fully automated system integrating sample card punching and liquid handling into one easy workflow.

The easyPunch STARlet system, made in Hamilton’s Bonaduz (Switzerland) facility, incorporates punching of GE Healthcare Whatman FTA and DMPK sample collection cards with automated sample extraction, eliminating typical logjams in laboratory processes.

“Because many labs lack a fully automated workflow, thousands of samples such as blood and saliva placed on punch cards are waiting long periods to be processed for critical studies and forensic analysis,” said Stefan Mauch, product manager of the easyPunch STARlet system. “Until now, sample card punching for analysis preparation required tedious manual work or separate semiautomated instruments and an operator. Researchers or technicians had to be consistently precise and experienced when handling and tracking samples, or the results could be compromised.”

The easyPunch workstation is based on the Hamilton Robotics Microlab STARlet platform and features two special modules and robotic arms for transporting and punching paper cards. The samples are monitored by effective tracking software to remove any risk of sample identification errors. The total process is tracked using imaging recognition. Hamilton’s proprietary software, based on industrial machine vision technology, provides complete control and monitoring of the punching process. The software recognizes the position and size of the card, identifies the sample by reading the barcode, and determines the punch area. The workstation also takes a picture of the target well to ensure the punch has arrived in the designated well.

Compatibility with library information-management systems (LIMS) and full traceability ensure that data can be linked effectively to each sample. The modular nature of the system enables incorporation of other devices, such as a centrifuge and a plate sealer, thus potentially integrating the entire workflow.

“Ease of use makes this workstation an attractive solution for repetitive tasks in forensic and biopharma sample handling,” remarked Navjot Kaur, product manager at Hamilton Robotics in Reno, Nevada. “Currently technicians manually clean between samples, but the easyPunch STARlet system performs this step automatically, reducing cross-contamination. Barcode reading and imaging support full traceability and reporting of samples, both during punching and downstream processing.”

Hamilton Company is a global leader in the development and manufacture of process measurement, liquid handling, robotics and storage solutions, serving customers in academic and private research laboratories, pharmaceutical, and clinical diagnostic companies and government institutions.

Related Links:

Hamilton Robotics
GE Healthcare



Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Antipsychotic TDM AssaysSaladax Antipsychotic Assays
New
Automated Cell Counter
QuadCount
New
CVD Risk Test
GammaCoeur CVD Risk ELISA Test

Print article

Channels

Clinical Chemistry

view channel
Image: The new saliva-based test for heart failure measures two biomarkers in about 15 minutes (Photo courtesy of Trey Pittman)

POC Saliva Testing Device Predicts Heart Failure in 15 Minutes

Heart failure is a serious condition where the heart muscle is unable to pump sufficient oxygen-rich blood throughout the body. It ranks as a major cause of death globally and is particularly fatal for... Read more

Hematology

view channel
Image: QScout CBC will give a complete blood count in 2 minutes from fingerstick or venous blood (Photo courtesy of Ad Astra Diagnostics)

Next Gen CBC and Sepsis Diagnostic System Targets Faster, Earlier, Easier Results

Every hour is critical in protecting patients from infections, yet there are currently limited tools to assist in early diagnosis before patients reach a hospital. The complete blood count (CBC) is a common... Read more

Immunology

view channel
Image: An immune response is initiated when an antigen-presenting cell (pink) presents foreign material to a T-cell (blue) (Photo courtesy of JAX)

Advanced Imaging Method Maps Immune Cell Connections to Predict Cancer Patients Survival

A growing tumor is influenced not only by the tumor cells themselves but also by the surrounding tissue, which alters its biology. Immune cells communicate by transferring vital signaling proteins to their... Read more

Microbiology

view channel
Image: The InfectoSynovia test has the potential to revolutionize the diagnosis of periprosthetic joint infection (Photo courtesy of 123RF)

High-Accuracy Bedside Test to Diagnose Periprosthetic Joint Infection in Five Minutes

Periprosthetic joint infection (PJI) represents a significant global issue that is worsening as the number of joint replacements increases due to aging populations. In the United States alone, the anticipated... Read more

Pathology

view channel
Image: LMU’s Professor Frederick Klauschen developed the novel approach that can improve diagnostic accuracy (Photo courtesy of LMU Munich)

AI Tool Uses Imaging Data to Detect Less Frequent GI Diseases

Artificial intelligence (AI) is already being utilized in various medical fields, demonstrating significant potential in aiding doctors in diagnosing diseases through imaging data. However, training AI... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.