Assessment of the dark-adaptation time required for recovery of electroretinographic responses in dogs after fundus photography and indirect ophthalmoscopy

2005 ◽  
Vol 66 (10) ◽  
pp. 1798-1804 ◽  
Author(s):  
Nalinee Tuntivanich ◽  
A. Lexi Mentzer ◽  
Danielle M. Eifler ◽  
Fabiano Montiani-Ferreira ◽  
Janice Q. Forcier ◽  
...  
1989 ◽  
Author(s):  
Shihong Gao ◽  
Jialong Wu ◽  
Dongxian Hao ◽  
Changming Kang

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Ken Asakawa

Cones are primarily involved in photopic vision and light adaptation. Rods are responsible for scotopic vision and dark adaptation. The typical time-courses of light and dark adaptations have been known for century. However, information regarding the minimal adaptation time for electroretinography (ERG) and pupillography would be helpful for practical applications and clinical efficiency. Therefore, we investigated the relationship between adaptation time and the parameters of ERG and pupillography. Forty-six eyes of 23 healthy women (mean age, 21.7 years) were enrolled. ERG and pupillography were tested for right and left eyes, respectively. ERG with a skin electrode was used to determine amplitude (µV) and implicit time (msec) by the records of rod-, flash-, cone-, and flicker-responses with white light (0.01–30 cd·s/m2). Infrared pupillography was used to record the pupillary response to 1-sec stimulation of red light (100 cd/m2). Cone- and flicker- (rod-, flash-, and pupil) responses were recorded after light (dark) adaptation at 1, 5, 10, 15, and 20 min. Amplitude was significantly different between 1 min and ≥5 or ≥10 min after adaptation in b-wave of cone- or rod-response, respectively. Implicit time differed significantly between 1 min and ≥5 min after adaptation with b-wave of cone- and rod-response. There were significant differences between 1 min and ≥10 or ≥5 min after dark adaptation in parameter of minimum pupil diameter or constriction rate, respectively. Consequently, light-adapted ERGs can be recorded, even in 5 min of light adaptation time without special light condition, whereas dark-adapted ERGs and pupillary response results can be obtained in 10 min or longer of dark adaptation time in complete darkness.


2017 ◽  
Vol 11 (1) ◽  
pp. 143-151 ◽  
Author(s):  
Sasapin.G. Prakalapakorn ◽  
Laura A. Vickers ◽  
Rolando Estrada ◽  
Sharon F. Freedman ◽  
Carlo Tomasi ◽  
...  

Background: The diagnosis of plus disease in retinopathy of prematurity (ROP) largely determines the need for treatment; however, this diagnosis is subjective. To make the diagnosis of plus disease more objective, semi-automated computer programs (e.g. ROPtool) have been created to quantify vascular dilation and tortuosity. ROPtool can accurately analyze blood vessels only in images with very good quality, but many still images captured by indirect ophthalmoscopy have insufficient image quality for ROPtool analysis. Purpose: To evaluate the ability of an image fusion methodology (robust mosaicing) to increase the efficiency and traceability of posterior pole vessel analysis by ROPtool. Materials and Methodology: We retrospectively reviewed video indirect ophthalmoscopy images acquired during routine ROP examinations and selected the best unenhanced still image from the video for each infant. Robust mosaicing was used to create an enhanced mosaic image from the same video for each eye. We evaluated the time required for ROPtool analysis as well as ROPtool’s ability to analyze vessels in enhanced vs. unenhanced images. Results: We included 39 eyes of 39 infants. ROPtool analysis was faster (125 vs. 152 seconds; p=0.02) in enhanced vs. unenhanced images, respectively. ROPtool was able to trace retinal vessels in more quadrants (143/156, 92% vs 115/156, 74%; p=0.16) in enhanced mosaic vs. unenhanced still images, respectively and in more overall (38/39, 97% vs. 34/39, 87%; p=0.07) enhanced mosaic vs. unenhanced still images, respectively. Conclusion: Retinal image enhancement using robust mosaicing advances efforts to automate grading of posterior pole disease in ROP.


2020 ◽  
Vol 141 (1) ◽  
pp. 57-64
Author(s):  
Michael Bach ◽  
Cornelia Meroni ◽  
Sven P. Heinrich

2007 ◽  
Vol 8 (4) ◽  
pp. 409 ◽  
Author(s):  
Hyung-Ah Yu ◽  
Man-Bok Jeong ◽  
Shin-Ae Park ◽  
Won-Tae Kim ◽  
Se-Eun Kim ◽  
...  

2016 ◽  
Vol 20 (3) ◽  
pp. 280-284 ◽  
Author(s):  
Nobuyuki Kanemaki ◽  
Mizuho Inaniwa ◽  
Kunihiko Terakado ◽  
Shinpei Kawarai ◽  
Yoichiro Ichikawa

2021 ◽  
Vol 13 (7) ◽  
pp. 3741
Author(s):  
Changjiang Liu ◽  
Qiuping Wang

To study the characteristics of light and dark adaptation in tunnel portals, and to determine the influencing factors in light–dark vision adaptation, basic tunnel lighting and linear design data were obtained. In this study, we used a light-shielded tent to simulate the dark environment of a tunnel, observe the driver recognition time for target objects during the light–dark adaptation process, and analyze the light–dark adaptation time of human vision. Based on the experimental data, we examined the relationships between age, gender, illuminance, and light and dark adaptation times, and established a model for these relationships. The experimental results show that the dark adaptation time is generally longer than the light adaptation time. The dark adaptation time is positively related to age and exhibits a cubic relationship. There is no significant correlation between the light adaptation time and age, but the overall trend is for the light adaptation time to gradually increase with increasing age. There is no correlation between gender and light and dark adaptation times, but there is a notable correlation between light and dark adaptation times and illuminance. When the illuminance ranges from 11,000 to 13,000 lux, the light and dark adaptation times are the longest.


2014 ◽  
Vol 43 (2) ◽  
pp. 217002
Author(s):  
段静波 DUAN Jing-bo ◽  
刘文清 LIU Wen-qing ◽  
张玉钧 ZHANG Yu-jun ◽  
赵南京 ZHAO Nan-jing ◽  
王志刚 WANG Zhi-gang ◽  
...  

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