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Dive into the research topics where Otto Sembritzki is active.

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Featured researches published by Otto Sembritzki.


Vision Research | 1993

Spatial and chromatic interactions in the human pattern electroretinogram

Matthias Korth; Nhung X. Nguyen; Rainer Rix; Otto Sembritzki

The spectral sensitivity and the spatial selectivity was studied both psychophysically and electroretinographically using the pattern onset-offset paradigm. All measurements were made under intensive yellow adaptation. The spectral sensitivity functions of both measures were in close agreement. They showed a peak at 460 nm (blue-sensitive mechanism) and a shoulder around 550 nm (red-green-sensitive mechanism). The luminance curves of the pattern onset ERG obtained with long wavelengths had a steeper slope and reached larger amplitudes than those obtained with short wavelengths. In addition the response-peak times were longer with short wavelengths. When the spatial frequency of the pattern was varied the 460 nm-onset responses showed very little or no spatial tuning and long peak times (around 60 msec). This was ascribed to the contribution from only one type of ganglion cell, namely the blue-yellow opponent receptive fields lacking a center-surround organization. The 550 nm-onset responses showed a clear spatial tuning (4 c/deg) and an increase in peak time (40-50 msec) with increasing spatial frequency (0.26-9.2 c/deg). This was ascribed to different types of receptive fields having a center-surround structure.


Vision Research | 1993

Interactions of spectral, spatial, and temporal mechanisms in the human pattern visual evoked potential

Matthias Korth; Nhung X. Nguyen; Rainer Rix; Otto Sembritzki

The human pattern onset-offset visual evoked potential (VEP) was studied with different colours and spatial frequencies presented on a steady homogeneous intensive yellow background. Under this condition a broad, late negative wave (N2) dominated by the blue-sensitive mechanism and a sharper earlier positive wave (P1) dominated by the red-green-sensitive mechanism can be observed. With a 460 nm pattern N2 shows a strong amplitude tuning at low-medium spatial frequencies. With 550 nm an early negative component (N1) is added showing an amplitude tuning at high spatial frequencies. Different spatial resolutions of the two colour mechanisms are thus indicated. With pattern-reversal stimuli the 550 nm stimulus shows a higher temporal resolution than the 460 nm stimulus.


Visual Neuroscience | 2000

The sequential processing of visual motion in the human electroretinogram and visual evoked potential

Matthias Korth; Rainer Rix; Otto Sembritzki

Mechanisms of motion vision in the human have been studied extensively by psychophysical methods but less frequently by electrophysiological techniques. It is the purpose of the present investigation to study electrical potentials of the eye (electroretinogram, ERG) and of the brain (visual evoked potential, VEP) in response to moving regular square-wave stripe patterns spanning a wide range of contrasts, spatial frequencies, and speeds. The results show that ERG amplitudes increase linearly with contrast while VEPs, in agreement with the literature, show an amplitude saturation at low contrast. Furthermore, retinal responses oscillate with the fundamental temporal stimulus frequency of the moving pattern while brain responses do not. In both the retina and the brain, the response amplitudes are tuned to certain speeds which is in agreement with the nonlinear correlation-type motion detector. Along the ascending slopes (which means increasing amplitudes) of the tuning functions, the ERG curves overlap at all spatial frequencies if plotted as a function of temporal stimulation frequency. The ascending slopes of the tuning functions of the VEP overlap if plotted as a function of speed. The descending slopes (which means decreasing amplitudes) of the tuning functions show little (ERG) or no (VEP) overlap and the waveforms at high speeds approach pattern-offset-onset responses. These observations suggest that in the retina motion processing along the ascending slopes of the tuning curves takes place by coding the temporal stimulation frequency which depends on the spatial frequency of the moving pattern. In the brain, however, motion processing is by speed independent of spatial frequency. Simple calculations show that the VEP information is decoded from the ERG signal into a speed signal.


Vision Research | 1992

The different contributions of local luminance decreases and increases to the pattern electroretinogram (PERG)

Matthias Korth; Rainer Rix; Otto Sembritzki

The typical pattern-onset-offset stimulus (stimulus A) consisting of local luminance increases and decreases was broken down into stimuli presenting only local luminance increases (stimulus B) or only local luminance decreases (stimulus C). With stimulus B the onset ERGs are luminance responses. With stimulus C the onset ERGs are pattern-related responses showing a spatial band-pass function. With stimulus A the response is a linear addition of responses to stimuli B and C. The simultaneously recorded VEP is a pattern-related response with all three stimuli (A-C).


Investigative Ophthalmology & Visual Science | 1985

Spatial Contrast Transfer Functions of the Pattern-Evoked Electroretinogram

Matthias Korth; Rainer Rix; Otto Sembritzki


Investigative Ophthalmology & Visual Science | 2006

Pupillographic Measurements with Pattern Stimulation: The Pupil’s Response in Normal Subjects and First Measurements in Glaucoma Patients

Barbara Link; Anselm Jünemann; Rainer Rix; Otto Sembritzki; Alexander Brenning; Matthias Korth; Folkert K. Horn


Archive | 2005

Verfahren und Computertomographie-System zur Erstellung tomographischer Aufnahmen eines Objektes

Rainer Raupach; Otto Sembritzki


Archive | 2005

Computer tomography imaging procedure splits detector output data set into thinned sets and correlates resulting images for reconstruction without uncorrelated data

Rainer Raupach; Otto Sembritzki


Archive | 2000

Method for generating a resultant tomogram from a number of tomograms registered with a computer tomography (CT) apparatus

Otto Sembritzki; Heinrich Wallschlaeger


Archive | 2002

Method for producing an image by computer tomography

Otto Sembritzki; Heinrigh Wallschlaeger

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Matthias Korth

University of Erlangen-Nuremberg

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Rainer Rix

University of Erlangen-Nuremberg

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Nhung X. Nguyen

University of Erlangen-Nuremberg

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Alexander Brenning

University of Erlangen-Nuremberg

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