Skip to main content
Premium Trial:

Request an Annual Quote

Cellectricon s Dynaflow Proficient (Pro) System, Dynaflow 48-channel chip, Dynaflow 16-channel chip, and Dynaflow Commander Pro 1.0, and Research and Markets High-Content Analysis Market Outlook Report


Cellectricon last week announced the launch of the Dynaflow Proficient (Pro) System for increased throughput in ion channel drug screening. The launch comes following a beta-testing period completed by GlaxoSmithKline, Cellectricon said.

The Dynaflow Pro System can be used together with the new Dynaflow 48-channel chip and the existing Dynaflow 16-channel chip. New control software, the Dynaflow Commander Pro 1.0, is compatible with both chips. The Dynaflow 48 makes it possible to receive multiple compound dose responses per chip and per cell — up to 12 full dose response curves per day, Cellectricon said. The Dynaflow 16 can be used to extract up to five full dose responses from single cells in a day, the company said.

Research and Markets has announced the availability of a new report, High-Content Analysis Market Outlook.

According to Research and Markets, the report provides:

• an overview of the current state of cell-based assays in drug development;

• a profile of the high-content analysis customer and an analysis of factors influencing the adoption of HCS technology;

• a five-year projection of spending on new equipment and reagents;

• and the impact of high-content analysis on systems biology.

The report can be found at:

The Scan

Shape of Them All

According to BBC News, researchers have developed a protein structure database that includes much of the human proteome.

For Flu and More

The Wall Street Journal reports that several vaccine developers are working on mRNA-based vaccines for influenza.

To Boost Women

China's Ministry of Science and Technology aims to boost the number of female researchers through a new policy, reports the South China Morning Post.

Science Papers Describe Approach to Predict Chemotherapeutic Response, Role of Transcriptional Noise

In Science this week: neural network to predict chemotherapeutic response in cancer patients, and more.