April 30, 2009
During June, 13-25, the 14th annual Living Cell Course will take place at the University of British Columbia Medicine School (UBC) in Vancouver, Canada. This residential course concentrates on all aspects of the 3D microscopy of living cells. Designed for biological research scientists and advanced graduate students, who apply – or plan to – modern 3D imaging, the course want to open up-to-date methods to a wider selection of scientists. The aim of this intense course is to bring students and manufacturers together. The course’s topics include amongst others scanning systems like AODs, mirrors and disks, deconvolution of wide-field and confocal data, dye design, poisson noise QE and S/N, calcium imaging, as well as „how to keep cells alive“.
Vancouver, Canada (sorce: pixelio.de)
April 29, 2009
A new imaging method that could help to build more powerful microscopes and other optical devices by producing sharper images and a wider field of view has been developed by Princeton researches. The research was led by Jason Fleischer, assistant professor of electrical engineering and co-written with two graduate students Christopher Barsi and Wenjie Wan. The new method takes advantage of the unusual properties of nonlinear optical materials in which light rays mix with each other in complex ways. Thanks to the mixing of rays, information that would otherwise be lost manages to reach the detector. Therefore this picture would be rich in detail but it would also be distorted. To capture this otherwise lost visual information, the researchers used a hologram. The hologram is a special type of photograph which records „phase“ – a light property which measures the time and location of a wave peak. They also combined data from a normal camera. Then they created a simplified flow of light through a nonlinear material and developed a computer algorithm that takes the distorted image and works backwards to calculate the visual information at every point in space between the image and the object.
An object illuminated by light reflects rays in many different directions (gray arrows). Left: With a normal lens, some rays are captured and refract towards a camera while others are missed, resulting in a blurry image with a limited field of view. Right: The new method uses a nonlinear material. The original rays are altered and new rays (red) are generated. The resulting picture is scrambled, but a computer algorithm can undo the mixing and yield a sharp, wide-field image. (Image: Christopher Barsi)