@CSIC features #PLOSONE article on internal code of blur in an institutional Press Release

 

The Press Office at CSIC highlights our recent publication on how the eye is adapted to their own high order aberrations: “Each person has an internal code for the perception of best perceived images”

Read Full Press Release at:  Link

A classification-images based psychophysical test reveals internal code for blur, published in #PLOSONE

The eye appears adapted to the orientation of the native high order aberration. For the first time, using a classification-images inspired psychophysical paradigm, the orientation of the best perceived blur by subjects has been reveals, matching the orientation of the optical blur. The study, a collaboration between the Visual Optics and Biophotonics Lab and Peli’s lab at the Schepens Eye Research Institute-MEEI (Harvard University) has just been published in PLOS One.

Full reference: Sawides L, Dorronsoro C, Haun AM, Peli E, Marcos S (2013).  Using Pattern Classification to Measure Adaptation to the Orientation of High Order Aberrations. PLoS ONE 8(8): e70856. doi:10.1371/journal.pone.0070856

The article has been featured in a CSIC Press Release. Full Press Release (Aug 16, 2013)

Related Movie:  Link

Evaluating static and dynamic accommodation with high speed quantitative OCT, published today in BOE

OCT was used to quantify biometric and lens shape changes with accommodation in human eyes in vivo, from 3-D static  and from 2-D dynamic measurements. The geometrical contributions to the accommodative response and fluctuations of accommodation were also estimated. This study represents the first fully OCT-based quantitative assessment of real time accommodation.

The publication can be downloaded at: Gambra, Ortiz, Perez-Merino, Gora, Wojtkowski, Marcos, tatic and Dynamic crystalline lens accommodation evaluated using quantitative 3-D OCT, Biomedical Optics Express Vol. 4, Iss. 9, pp. 1595–1609 (2013)

The study was performed in collaboration with Maciej Wojtkowski’s lab at Copernicus University.