scholarly journals Metastructure-inspired ultraviolet and blue light filter

AIP Advances ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 105015
Author(s):  
Yong Kyu Choi ◽  
Young Joon Yoo ◽  
Sang Yoon Park ◽  
Taekyung Lim ◽  
Sang-Mi Jeong ◽  
...  
Keyword(s):  
Blue Light ◽  
Light Filter ◽  
Blue Light Filter

scholarly journals Psychophysical Measurements of Luminance Contrast Sensitivity and Color Discrimination with Transparent and Blue-Light Filter Intraocular Lenses

2017 ◽  
Vol 6 (2) ◽  
pp. 301-312 ◽  
Author(s):  
Marcelo Fernandes da Costa ◽  
Augusto Paranhos Júnior ◽  
Claudio Luiz Lottenberg ◽  
Leonardo Cunha Castro ◽  
Dora Fix Ventura
Keyword(s):  
Contrast Sensitivity ◽  
Blue Light ◽  
Color Discrimination ◽  
Luminance Contrast ◽  
Light Filter ◽  
Intraocular Lenses ◽  
Blue Light Filter

scholarly journals The Effect of Using Blue Light Filter Feature on Smartphones with Asthenopia Occurrence

2021 ◽  
Vol 2 (1) ◽  
pp. 30-35
Author(s):  
Arnan Victor Wiryawan ◽  
Maharani Maharani ◽  
Tanti Ajoe Kesoema ◽  
Riski Prihatningtias
Keyword(s):  
Blue Light ◽  
Light Filter ◽  
Wilcoxon Test ◽  
Research Subjects ◽  
Comparison Results ◽  
Significant Difference ◽  
Before And After ◽  
Eye Symptoms ◽  
Smartphone Use ◽  
Blue Light Filter

Background: Smartphone users can be found in almost every class society in Indonesia. Excessive use of smartphones and the blue light emitted by smartphones play an important role in causing asthenopia symptoms. Smartphone development companies have developed a blue light filter feature, which is expected to reduce the incidence of Asthenopia symptoms.Objective: To evaluate the Asthenopia questionnaire's comparison results before and after smartphone use with various levels of opacity in the blue light filter.Methods: This study used a quasi-experimental pre-posttest study. The research subjects were students of the Faculty of Medicine, Diponegoro University (n = 30), selected by purposive sampling. In this study, research subjects saw an hour-long smartphone with a predetermined opacity level for the blue light filter, with the same room lighting. Before and after the treatment, the subjects were asked to fill out the Asthenopia questionnaire. Data were analyzed using the Wilcoxon test, Mann Whitney U test, and Kruskal Wallis test.Results: The results of the Asthenopia questionnaire before and after using a smartphone with a blue light filter opacity level of 0% and 100% showed a significant difference in results (p <0.05), and there was no significant difference for the pre-posttest using a smartphone with a blue light filter with 50% opacity level. The comparison results of the Asthenopia questionnaire between smartphone use with the opacity level of the blue light filter 0% and 50% only showed a significant difference in sore/aching eye symptoms. The comparison results of the Asthenopia questionnaire between smartphone use with the opacity level of the blue light filter 50% and 100% only showed a significant difference in sleepy eye symptoms. The comparison results of the Asthenopia questionnaire between smartphone use with the opacity level of the blue light filter 0%, 50%, and 100%, did not show a significant difference.Conclusion: There were no significant differences between the Asthenopia questionnaire results with 0%, 50%, and 100% opacity blue light filters after one hour of smartphone use.

scholarly journals STUDYING NARROW-BAND BLUE LIGHT FILTER FOR WHITE LEDS

2019 ◽  
Vol 8 ◽  
pp. 244-253
Author(s):  
Nadezhda Chayka ◽  
Danila Semenov
Keyword(s):  
Blue Light ◽  
Narrow Band ◽  
Optical Filter ◽  
Light Filter ◽  
White Led ◽  
White Leds ◽  
Human Eye ◽  
Blue Light Filter

In this paper, we investigated the properties of the developed optical filter, that cuts off part of the blue light range in the spectrum of a white LED, which is harmful to the human eye. The developed filter allows reflecting up to 30 % of blue light in the range from 435 to 440 nm.

scholarly journals Visualization of IOL Material-Induced Changes in Retinal Color Stimulus

2016 ◽  
Vol 2016 ◽  
pp. 1-8
Author(s):  
Stephan Reiss ◽  
Karsten Sperlich ◽  
Martin Kunert ◽  
Rudolf F. Guthoff ◽  
Heinrich Stolz ◽  
...  
Keyword(s):  
Blue Light ◽  
Color Perception ◽  
Hydrophobic Surface ◽  
Light Filter ◽  
Blue Color ◽  
Spectral Transmittance ◽  
Color Stimulus ◽  
Reference Images ◽  
Blue Light Filter ◽  
Induced Changes

Purpose. Different IOL materials, particularly blue-light filtering materials, have different spectral transmittance characteristics. The color stimuli, which influence retinal receptors objectively, have consequently implications for color perception. We report on the quantitative determination of IOL-specific transmittance characteristics and present a method visualizing the resultant changes in color stimulus.Methods. A setup was realized to quantify IOL-absorption in a range of 390–780 nm. To visualize the influence of the different spectral transmittance characteristics an algorithm was developed, which converts RGB-pixel values of images into spectra, which performs the corresponding transmittance correction, reconverts to RGB, and reconstructs the image. IOLs of hydrophobic acrylate and hydrophilic acrylate with a hydrophobic surface in each case with/without blue-light filter were examined.Results. Assessment of the reference images verifies the suitability of the pipeline. Evaluation of the transmittance spectra reveals differences of material- and manufacturer-specifics, which are capable of inducing considerable changes in color perception, particularly in the blue color range and mixed colors involving blue.Conclusions. The developed technique provides an approach for determining IOL-specific transmittance behavior and subsequently its influence on the retinal color stimulus. Problems of altered color perception are occasionally reported after cataract surgery and these become obvious with the visualization procedure developed here.

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