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
LGC Clinical Diagnostics

Download Mobile App




Robotic Workstation Prints 2.4 Million Microarrays per Year

By LabMedica International staff writers
Posted on 31 Dec 2009
Print article
Advance in the speed and efficiency of manufacturing microarrays allows highly precise printing of as many as 2.4 million microarrays per year with a single robotic workstation. The microarrays are tiny glass substrates that contain rows and columns of printed spots used for molecular diagnostics and scientific research.

The technological breakthrough was made by Arrayit Corporation (Sunnyvale, CA, USA); its current capacity is 640,000 microarrays per instrument annually. The enhanced automated microarray printing bandwidth increases company's competitiveness in the diagnostics marketplace.

Arrayit executive vice president and cofounder Todd Martinsky stated, "This technological advance represents an engineering tour de force that combines our expertise in laboratory automation, linear drive robotics, micromachining, surface chemistry and contact printing. Leveraging our core tech competencies and patented contact printing platform in this manner should further enhance our competitive differentiation in the diagnostics market."

Arrayit Corporation discovers, develops, and manufactures life science technologies and consumables for disease prevention, treatment, and cure. The company is currently developing early stage definitive diagnostic tests for ovarian cancer, Parkinson's disease, influenza A virus (H1N1) and other illnesses.

Related Links:
Arrayit Corporation


Gold Member
Veterinary Hematology Analyzer
Exigo H400
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Chagas Disease Test
LIAISON Chagas
New
Ultra-Low Temperature Freezer
iUF118-GX

Print article

Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The HIV-1 self-testing chip will be capable of selectively detecting HIV in whole blood samples (Photo courtesy of Shutterstock)

Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples

As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.