October 11, 2007 - Carl Zeiss MicroImaging GmbH, a provider of microscopy solutions for a variety of research, clinical and industrial applications, introduced ZEN 2007, a new software for laser scanning microscopes, reportedly creating an optimal fusion between state-of-the-art technology and intuitive user-guidance.
According to the company, the ZEN user interface is clearly structured and flexible, allowing it to be individually tailored to each experiment and user. The Professional-Basic concept of ZEN reportedly reduces the complexity of the interface without decreasing the range of functions; users may be able to decide at what point they require full functionality, allowing them to focus their full attention on their research work.
The color and brightness of ZEN’s input fields and buttons are carefully adapted to the typical lighting conditions encountered in a laboratory environment. The resulting improvement in contrast reportedly makes it possible to recognize details in fluorescence images that were not visible before. The optimization of the screen display for the 30-inch widescreen format creates additional space, which may be useful for complex experiments in which a large number of tool palettes and view windows are simultaneously open. All laser scanning microscopes in the LSM 5 Family from release 2.8 onwards can be upgraded with ZEN 2007.
For more information: www.zeiss.com/micro
News | October 10, 2007
Carl Zeiss Rolls Out ZEN for Laser Scanning
Related Content
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
Four of the top pieces of content in March included news on proton therapy, including a 360 image and videos from ITN's recent visit to the Northwestern Medicine Proton Center in the Chicago suburbs. This image shows the main proton treatment room gantry at the proton center in Warrenville, Ill.
Feature | April 02, 2019 | Dave Fornell, Editor and A.J. Connell
April 2, 2019 — Here is the list of the most popular content on the Imaging Technology News (ITN) magazine w
At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve). Photo by Greg Freiherr
Feature | Cardiac Imaging | March 22, 2019 | By Greg Freiherr
Reflecting a trend toward the increased use of...
SyncVision iFR Co-registration from Philips Healthcare maps iFR pressure readings onto angiogram. Results from an international study presented at #ACC19 show that pressure readings in coronary arteries may identify locations of stenoses remaining after cardiac cath interventions.
Feature | Cardiac Imaging | March 18, 2019 | By Greg Freiherr
As many as one in four patients who undergo cath lab interventions can benefit from a technology that identifies the
Jennifer N. A. Silva, M.D., a pediatric cardiologist at Washington University School of Medicine in Saint Louis, Mo., describes “mixed reality” at ACC19 Future Hub.
Feature | Cardiac Imaging | March 17, 2019 | By Greg Freiherr
Virtual reality (VR) and its less immersive kin, augmented reality (AR), are gaining traction in some medical applica
WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography. Photo by Greg Freiherr
Feature | Cardiac Imaging | March 16, 2019 | By Greg Freiherr
Machine learning is already having an enormous impact on cardiology, automatically calculating measurements in echoca
Podcast | Cardiac Imaging | March 12, 2019
How smart algorithms might reduce the burden of modern practice
Collage depicts broad applications in machine learning or deep learning (DL) that can be applied to advanced medical imaging technologies. Size of the liver and its fat fraction — 22 percent — (top middle in collage) can be quantified automatically using an algorithm developed by Dr. Albert Hsiao and his team at the University of California San Diego. This and other information that might be mined by DL algorithms from CT and MR images could help personalize patients’ treatment. Collage provided by Albert Hsiao
Feature | Cardiac Imaging | March 11, 2019 | By Greg Freiherr
Computed tomography (CT) and magnetic resonance imaging (MRI) scans are chock full of information that might be used
