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Artículos de revistas sobre el tema "Fundus camera"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 26 de julio de 2025

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1

M. Bernardo, Bryan Joshua, and Donnie Y. Saludes, OD. "Improvised Fundus Camera." Journal of Optometry, Eye and Health Research 3, no. 1 (2021): 7. http://dx.doi.org/10.57002/joehr.v3i1.272.

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Through the years, examination of fundus of the eye has come a long way. Technology has played a major part in the development of fundus imaging from direct and indirect ophthalmoscopy up to portable fundus cameras. However, the high cost of fundus cameras in the market creates an impediment in acquiring and utilizing such. The aim of this research was to improvise a cheaper yet fully functional fundus camera. A quantitative quasi-experimental type of research to rate the created prototype by a total of 23 respondents was applied. The device was rated according to functionality, design, ease o

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2

Shen, Bailey Y., and Shizuo Mukai. "A Portable, Inexpensive, Nonmydriatic Fundus Camera Based on the Raspberry Pi® Computer." Journal of Ophthalmology 2017 (2017): 1–5. http://dx.doi.org/10.1155/2017/4526243.

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Purpose. Nonmydriatic fundus cameras allow retinal photography without pharmacologic dilation of the pupil. However, currently available nonmydriatic fundus cameras are bulky, not portable, and expensive. Taking advantage of recent advances in mobile technology, we sought to create a nonmydriatic fundus camera that was affordable and could be carried in a white coat pocket. Methods. We built a point-and-shoot prototype camera using a Raspberry Pi computer, an infrared-sensitive camera board, a dual infrared and white light light-emitting diode, a battery, a 5-inch touchscreen liquid crystal di

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Xiao, Baixiang, Qinghua Liao, Yanping Li, et al. "Validation of handheld fundus camera with mydriasis for retinal imaging of diabetic retinopathy screening in China: a prospective comparison study." BMJ Open 10, no. 10 (2020): e040196. http://dx.doi.org/10.1136/bmjopen-2020-040196.

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ObjectivesTo investigate the clinical validity of using a handheld fundus camera to detect diabetic retinopathy (DR) in China.Design and settingsProspective comparison study of the handheld fundus camera with a standard validated instrument in detection of DR in hospital and a community screening clinic in Guangdong Province, China.ParticipantsParticipants aged 18 years and over with diabetes who were able to provide informed consent and agreed to attend the dilated eye examination with handheld tests and a standard desktop camera.Primary and secondary outcome measuresPrimary outcome was the p

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4

Long, Tengfei, Yi Xu, Haidong Zou, et al. "A Generic Pixel Pitch Calibration Method for Fundus Camera via Automated ROI Extraction." Sensors 22, no. 21 (2022): 8565. http://dx.doi.org/10.3390/s22218565.

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Pixel pitch calibration is an essential step to make the fundus structures in the fundus image quantitatively measurable, which is important for the diagnosis and treatment of many diseases, e.g., diabetes, arteriosclerosis, hereditary optic atrophy, etc. The conventional calibration approaches require the specific parameters of the fundus camera or several specially shot images of the chess board, but these are generally not accessible, and the calibration results cannot be generalized to other cameras. Based on automated ROI (region of interest) and optic disc detection, the diameter ratio o

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5

Tsai, Meng-Ju, Yi-Ting Hsieh, Chin-Han Tsai, et al. "Cross-Camera External Validation for Artificial Intelligence Software in Diagnosis of Diabetic Retinopathy." Journal of Diabetes Research 2022 (March 9, 2022): 1–5. http://dx.doi.org/10.1155/2022/5779276.

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Aims. To investigate the applicability of deep learning image assessment software VeriSee DR to different color fundus cameras for the screening of diabetic retinopathy (DR). Methods. Color fundus images of diabetes patients taken with three different nonmydriatic fundus cameras, including 477 Topcon TRC-NW400, 459 Topcon TRC-NW8 series, and 471 Kowa nonmyd 8 series that were judged as “gradable” by one ophthalmologist were enrolled for validation. VeriSee DR was then used for the diagnosis of referable DR according to the International Clinical Diabetic Retinopathy Disease Severity Scale. Gra

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6

Ruan, Shang, Wei-Ting Hu, Hui-Xun Jia, et al. "A new handheld fundus camera combined with visual artificial intelligence facilitates diabetic retinopathy screening." International Journal of Ophthalmology 15, no. 4 (2022): 620–27. http://dx.doi.org/10.18240/ijo.2022.04.16.

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AIM: To explore the performance in diabetic retinopathy (DR) screening of artificial intelligence (AI) system by evaluating the image quality of a handheld Optomed Aurora fundus camera in comparison to traditional tabletop fundus cameras and the diagnostic accuracy of DR of the two modalities. METHODS: Overall, 630 eyes were included from three centers and screened by a handheld camera (Aurora, Optomed, Oulu, Finland) and a table-top camera. Image quality was graded by three masked and experienced ophthalmologists. The diagnostic accuracy of the handheld camera and AI system was evaluated in a

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7

Yao, Xincheng, Taeyoon Son, and Jiechao Ma. "Developing portable widefield fundus camera for teleophthalmology: Technical challenges and potential solutions." Experimental Biology and Medicine 247, no. 4 (2021): 289–99. http://dx.doi.org/10.1177/15353702211063477.

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A portable, low cost, widefield fundus camera is essential for developing affordable teleophthalmology. However, conventional trans-pupillary illumination used in traditional fundus cameras limits the field of view (FOV) in a snapshot image, and frequently requires pharmacologically pupillary dilation for reliable examination of eye conditions. This minireview summarizes recent developments in alternative illumination approaches for widefield fundus photography. Miniaturized indirect illumination has been used to enable compact design for developing low cost, portable, widefield fundus camera.

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Sunness, Janet S., Mary A. Johnson, Robert W. Massof, and David L. Kays. "Wilmer fundus camera stimulator." Applied Optics 26, no. 8 (1987): 1487. http://dx.doi.org/10.1364/ao.26.001487.

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9

DeHoog, Edward, Haitao Luo, Kazuhiko Oka, Eustace Dereniak, and James Schwiegerling. "Snapshot polarimeter fundus camera." Applied Optics 48, no. 9 (2009): 1663. http://dx.doi.org/10.1364/ao.48.001663.

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10

Ahsan, Shahid, Uzma Haseeb, Muhammad Saleh Memon, Sadia Bukhari, Tauseef Mahmood, and Muhammad Faisal Fahim. "Validity of Hand Held Fundus Camera by Optometrist using Slit lamp 90 d bio microscopy as a reference standard for screening of Diabetes Retinopathy." Journal of the Pakistan Medical Association 72, no. 11 (2022): 2189–92. http://dx.doi.org/10.47391/jpma.4235.

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Objective: To find out the validity of hand-held fundus camera by optometrist using slit lamp 90D biomicroscopy as reference standard for screening of diabetes retinopathy. Method: The observational cross-sectional study was conducted at the diabetic clinic of Al-Ibrahim Eye Hospital, Karachi, from August 2020 to May 2021, and comprised diabetics of either gender aged >16 years visiting the outpatient department. Un-dilated fundus photograph of both eyes were taken with non-mydriatic fundus camera. Pupils were then mid-dilated with one drop of tropicamide 1% before capturing retinal images

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11

Banakar, Ravindra, R. Suresha Anepla, Yogaasri Pushparaj, and Kunal Prakashchandra Bhatt. "Validation of using smartphone based non-mydriatic camera for retinal photography to diagnose diabetic retinopathy." Kerala Journal of Ophthalmology 36, no. 2 (2024): 127–32. http://dx.doi.org/10.4103/kjo.kjo_11_23.

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Purpose: To assess the sensitivity and specificity of retinal imaging captured by portable non-mydriatic ‘fundus on phone’ camera as a screening tool against the conventional seven field digital fundus photography. Design: Prospective comparative study design. Methods: Study was performed over 300 diabetic patients (600 eyes). First fundus pictures were taken with non-mydriatic ‘fundus-on-phone’ camera and then with Zeiss seven field fundus camera after pupillary dilation. Images were analysed and compared by two observers. Results: Out of all the 600 undilated fundus images, 15.5% were ungrad

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12

Gupta, Shubhi, Prakash Srivastava, and Ashutosh Gupta. "Portable Smart Healthcare Approach for Earlier Stage Eye Tests for Diabetic Retinopathy Detection." International Journal of Information Retrieval Research 11, no. 2 (2021): 53–68. http://dx.doi.org/10.4018/ijirr.2021040104.

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High-quality, wide field retinal imaging is an effective method of retinal disease screening that is preventable and endangers vision. Retinal smartphone-based cameras promise to increase retinal imagery access, but variable image quality and restricted field of view can restrict their usefulness. This article discusses how to build a fundus camera based on smartphones that is capable of photographing the central retina and the peripheral retina up to the plana pars. It is a cost-effective alternative to the fundus camera.

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13

Mehmood, Faisal, Ahsan Mehmood, Awais Afzal, Abdullah Irfan, Muhammad Moin, and Muhammad Muneeb. "Picture quality comparison between panoptic ophthalmoscope and non-mydriatic fundus camera." Journal of Fatima Jinnah Medical University 13, no. 4 (2020): 159–62. http://dx.doi.org/10.37018/jfjmu.657.

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ABSTRACT Background: Non-mydriatic fundus photography has been shown to be a potential alternative to direct ophthalmoscopy in the emergency department. Panoptic ophthalmoscope is a newer handheld alternative to non-mydriatic fundus camera. Its advantages include greater portability and lower price. Panoptic Ophthalmoscope compatibly utilizes mobile phone’s camera to capture high definition fundus photographs, however lower in quality in comparison with a fundus camera. This study compares the picture quality between panoptic ophthalmoscope (POO) and non-mydriatic fundus camera (NMFC).&#

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14

Liu, Tan, Hao Li, Wei Song, Shuliang Jiao, and Hao F. Zhang. "Fundus Camera Guided Photoacoustic Ophthalmoscopy." Current Eye Research 38, no. 12 (2013): 1229–34. http://dx.doi.org/10.3109/02713683.2013.815219.

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15

Gliss, Christine, Jean-Marie Parel, John T. Flynn, Hans Pratisto, and Peter Niederer. "Toward a miniaturized fundus camera." Journal of Biomedical Optics 9, no. 1 (2004): 126. http://dx.doi.org/10.1117/1.1631313.

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16

Plesch, A., U. Klingbeil, and J. Bille. "Digital laser scanning fundus camera." Applied Optics 26, no. 8 (1987): 1480. http://dx.doi.org/10.1364/ao.26.001480.

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17

Lu, Louisa, Somsanguan Ausayakhun, Sakarin Ausayakuhn, et al. "Diagnostic accuracy of handheld fundus photography: A comparative study of three commercially available cameras." PLOS Digital Health 1, no. 11 (2022): e0000131. http://dx.doi.org/10.1371/journal.pdig.0000131.

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The objective of this study was to compare the sensitivity and specificity of handheld fundus cameras in detecting diabetic retinopathy (DR), diabetic macular edema (DME), and macular degeneration. Participants in the study, conducted at Maharaj Nakorn Hospital in Northern Thailand between September 2018 and May 2019, underwent an ophthalmologist examination as well as mydriatic fundus photography with three handheld fundus cameras (iNview, Peek Retina, Pictor Plus). Photographs were graded and adjudicated by masked ophthalmologists. Outcome measures included the sensitivity and specificity of

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18

Tomić, Martina, Romano Vrabec, Đurđica Hendelja, Vilma Kolarić, Tomislav Bulum, and Dario Rahelić. "Diagnostic Accuracy of Hand-Held Fundus Camera and Artificial Intelligence in Diabetic Retinopathy Screening." Biomedicines 12, no. 1 (2023): 34. http://dx.doi.org/10.3390/biomedicines12010034.

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Our study aimed to assess the role of a hand-held fundus camera and artificial intelligence (AI)-based grading system in diabetic retinopathy (DR) screening and determine its diagnostic accuracy in detecting DR compared with clinical examination and a standard fundus camera. This cross-sectional instrument validation study, as a part of the International Diabetes Federation (IDF) Diabetic Retinopathy Screening Project, included 160 patients (320 eyes) with type 2 diabetes (T2DM). After the standard indirect slit-lamp fundoscopy, each patient first underwent fundus photography with a standard 4

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19

Chalam, K. V., Joud Chamchikh, and Suzie Gasparian. "Optics and Utility of Low-Cost Smartphone-Based Portable Digital Fundus Camera System for Screening of Retinal Diseases." Diagnostics 12, no. 6 (2022): 1499. http://dx.doi.org/10.3390/diagnostics12061499.

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Purpose: To describe optical principles and utility of inexpensive, portable, non-contact digital smartphone-based camera for the acquisition of fundus photographs for the evaluation of retinal disorders. Methods: The digital camera has a high-quality glass 25 D condensing lens attached to a 21.4-megapixel smartphone camera. The white-emitting LED light of the smartphone at low illumination levels is used to visualize the fundus and limit source reflection. The camera captures a high-definition fundus (5344 × 4016) image on a complementary metal oxide semiconductor (CMO) with an area of 6.3 mm

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20

Yang, Luyao, and Qingliang Zhao. "Miniaturized fundus camera based on cross-polarization and in vivo verification." Journal of Physics: Conference Series 2785, no. 1 (2024): 012043. http://dx.doi.org/10.1088/1742-6596/2785/1/012043.

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Abstract As an important part of clinical examination, fundus examination can reveal early symptoms of both eye and chronic physical diseases, thus helping doctors and automated screening to diagnose and treat in time. However, widely used portable fundus cameras are often disturbed by stray light, which seriously affects the quality of fundus imaging, extremely detrimental to the clinic. In this work, we have successfully built a miniaturized fundus camera based on the cross-polarization method, which simplifies the system design while guaranteeing high-quality imaging compared with other met

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21

Wang, Jing Yi, and Yan Wu Chen. "Study on the Stray Light Suppression of Fundus Camera." Applied Mechanics and Materials 271-272 (December 2012): 1664–68. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.1664.

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Fundus camera is a system that is a kind of observation and records the images of the retina of the eye. Through these retinal images, it can diagnosis Systemic diseases early, but Stray light will make the images blur and contrast reduction, reduce the ratio of Signal to noise of the images, affect the fundus camera imaging quality seriously, we must eliminate it. In this paper, aiming at the fundus camera stray light sources that gives the corresponding stray light suppression measures, for the fundus camera’s further developments provide a reference, prospecting the future technology develo

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22

CHEN Jian, 陈健, 郑绍华 ZHENG Shao-hua, 潘林 PAN Lin, and 余轮 YU Lun. "Auto Focusing Method for Fundus Camera." ACTA PHOTONICA SINICA 43, no. 11 (2014): 1110001. http://dx.doi.org/10.3788/gzxb20144311.1110001.

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23

Anonymous. "Nikon Adds to Fundus Camera Line." Journal of Refractive Surgery 3, no. 6 (1987): 245. http://dx.doi.org/10.3928/1081-597x-19871101-12.

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DeHoog, Edward, and James Schwiegerling. "Fundus camera systems: a comparative analysis." Applied Optics 48, no. 2 (2009): 221. http://dx.doi.org/10.1364/ao.48.000221.

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25

Starovoitov, V. V., Y. I. Golub, and M. M. Lukashevich. "Digital fundus image quality assessment." «System analysis and applied information science», no. 4 (January 5, 2022): 25–38. http://dx.doi.org/10.21122/2309-4923-2021-4-25-38.

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Diabetic retinopathy (DR) is a disease caused by complications of diabetes. It starts asymptomatically and can end in blindness. To detect it, doctors use special fundus cameras that allow them to register images of the retina in the visible range of the spectrum. On these images one can see features, which determine the presence of DR and its grade. Researchers around the world are developing systems for the automated analysis of fundus images. At present, the level of accuracy of classification of diseases caused by DR by systems based on machine learning is comparable to the level of qualif

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26

Midena, Edoardo, Luca Zennaro, Cristian Lapo, et al. "Handheld Fundus Camera for Diabetic Retinopathy Screening: A Comparison Study with Table-Top Fundus Camera in Real-Life Setting." Journal of Clinical Medicine 11, no. 9 (2022): 2352. http://dx.doi.org/10.3390/jcm11092352.

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The aim of the study was to validate the performance of the Optomed Aurora® handheld fundus camera in diabetic retinopathy (DR) screening. Patients who were affected by diabetes mellitus and referred to the local DR screening service underwent fundus photography using a standard table-top fundus camera and the Optomed Aurora® handheld fundus camera. All photos were taken by a single, previously unexperienced operator. Among 423 enrolled eyes, we found a prevalence of 3.55% and 3.31% referable cases with the Aurora® and with the standard table-top fundus camera, respectively. The Aurora® obtain

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27

Chan, Tsung-Yueh, Jen-Hung Wang, Nancy Chen, and Cheng-Jen Chiu. "The Assessment of Retinal Image Quality Using a Non-Mydriatic Fundus Camera in a Teleophthalmologic Platform." Diagnostics 14, no. 14 (2024): 1543. http://dx.doi.org/10.3390/diagnostics14141543.

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This study assesses the quality of retinal images captured using a non-mydriatic fundus camera within a teleophthalmologic platform in Taiwan. The objective was to evaluate the effectiveness of non-mydriatic fundus cameras for remote retinal screening and identify factors impacting image quality. From June 2020 to August 2022, 629 patients from five rural infirmaries underwent ophthalmic examinations, with fundus images captured without pupil dilation. These images were reviewed by senior ophthalmologists and graded based on quality. The results indicated that approximately 70% of images were

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Eszes, Dóra J., Dóra J. Szabó, Greg Russell, et al. "Diabetic Retinopathy Screening Using Telemedicine Tools: Pilot Study in Hungary." Journal of Diabetes Research 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/4529824.

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Introduction.Diabetic retinopathy (DR) is a sight-threatening complication of diabetes. Telemedicine tools can prevent blindness. We aimed to investigate the patients’ satisfaction when using such tools (fundus camera examination) and the effect of demographic and socioeconomic factors on participation in screening.Methods.Pilot study involving fundus camera screening and self-administered questionnaire on participants’ experience during fundus examination (comfort, reliability, and future interest in participation), as well as demographic and socioeconomic factors was performed on 89 patients

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Quigley, Michael G. "A New Fundus Camera Technique to Help Calculate Eye-Camera Magnification." Archives of Ophthalmology 121, no. 5 (2003): 707. http://dx.doi.org/10.1001/archopht.121.5.707.

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Sobue, Motoshi, Hirokazu Takata, Hironari Takehara, et al. "Clear Fundus Images Through High-Speed Tracking Using Glare-Free IR Color Technology." Journal of Robotics and Mechatronics 34, no. 5 (2022): 1152–63. http://dx.doi.org/10.20965/jrm.2022.p1152.

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Fundus images contain extensive health information. However, patients hardly obtain their fundus images by themselves. Although glare-free infrared (IR) imaging enables easy acquisition of fundus images, it is monographic and challenging to process in real-time in response to high-speed and involuntary fixational eye movement and in vivo blurring. Therefore, we propose applying our IR color technology and providing clear fundus images by high-speed tracking of involuntary fixational eye movements and eliminating in vivo blurs by deconvolution. We tested whether the proposed camera system was a

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KİBAR KURT, Büşra, Ali BELGE, and Murat SARIERLER. "Fundus Imaging via Infrared Camera without Mydriatics in Holstein Calves." Harran Üniversitesi Veteriner Fakültesi Dergisi 11, no. 2 (2022): 216–24. http://dx.doi.org/10.31196/huvfd.1154049.

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This study aimed to record the ocular fundus images of healthy Holstein calves under field conditions. The fundus of 34 eyes of healthy 17 Holstein calves was examined with a fundus camera, which does not require mydriatics, as it has been designed especially for animals and provides imaging with infrared light. The findings showed that the green-yellow tapetal zone was dominant in all calves, the optic disc was oval, and the number of primary arteries and veins originating from the center varied between 4 and 5. The vascular pattern was holangiotic. A remnant of the hyaloid artery (Bergmeiste

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Raju, Biju, N. S. D. Raju, JohnDavis Akkara, and Avinash Pathengay. "Do it yourself smartphone fundus camera – DIYretCAM." Indian Journal of Ophthalmology 64, no. 9 (2016): 663. http://dx.doi.org/10.4103/0301-4738.194325.

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Li Can, 李灿, 宋淑梅 Song Shumei, 李淳 Li Chun, 刘英 Liu Ying, and 孙强 Sun Qiang. "Optical System Design of Portable Fundus Camera." Acta Optica Sinica 32, no. 9 (2012): 0922003. http://dx.doi.org/10.3788/aos201232.0922003.

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Canter, Joseph M. "Laser-based fundus camera for infrared angiography." Optical Engineering 34, no. 3 (1995): 737. http://dx.doi.org/10.1117/12.191819.

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Calvo-Maroto, Ana M., Jose J. Esteve-Taboada, Alberto Domínguez-Vicent, Rafael J. Pérez-Cambrodí, and Alejandro Cerviño. "Confocal scanning laser ophthalmoscopy versus modified conventional fundus camera for fundus autofluorescence." Expert Review of Medical Devices 13, no. 10 (2016): 965–78. http://dx.doi.org/10.1080/17434440.2016.1236678.

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Sahana, H., Dr Archana Nandibewor, Dr Aijazahamed Qazi, and Dr Pushpalatha S. Nikkam. "Retinal Image Processing on Early Glaucoma Detection." Alinteri Journal of Agricultural Sciences 36, no. 1 (2021): 138–41. http://dx.doi.org/10.47059/alinteri/v36i1/ajas21020.

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Glaucoma is a habitual eye disorder which harms eye’s second cranial nerve. There are millions of second cranial nerves. The main function of these types of nerves is to sending captured visual information from retina to the brain. The escalate pressure in the human eye leads to Glaucoma. This heavy pressure is known as intraocular pressure. This heavy pressure leads to damage eye's optic nerve head and retina continuously further it tends to vision loss. In this paper there are two datasets including both normal person and affected person's eye color images. The principal aim of this project

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Wang, Shaoze, Kai Jin, Haitong Lu, Chuming Cheng, Juan Ye, and Dahong Qian. "Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs." IEEE Transactions on Medical Imaging 35, no. 4 (2016): 1046–55. http://dx.doi.org/10.1109/tmi.2015.2506902.

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LI Can, 李灿, 宋淑梅 SONG Shu-mei, 刘英 LIU Ying, 李淳 LI Chun, 李小虎 LI Xiao-hu, and 孙强 SUN Qiang. "Design of optical system for catadioptric fundus camera." Optics and Precision Engineering 20, no. 8 (2012): 1710–17. http://dx.doi.org/10.3788/ope.20122008.1710.

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Wu, Jun, Shiliang Lou, Zhitao Xiao, et al. "Design of optical system for binocular fundus camera." Computer Assisted Surgery 22, sup1 (2017): 61–69. http://dx.doi.org/10.1080/24699322.2017.1379143.

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Campo, Randy V. "Full-Frame Angiography for the Zeiss Fundus Camera." American Journal of Ophthalmology 105, no. 2 (1988): 216–17. http://dx.doi.org/10.1016/0002-9394(88)90195-x.

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O, Sheeba, and Ajitha S. S. "Detection of Diabetic Retinopathy from Fundus Camera Images." International Journal of Engineering Trends and Technology 24, no. 4 (2015): 177–81. http://dx.doi.org/10.14445/22315381/ijett-v24p233.

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Dysli, Muriel, Madeleine Kanku, and Ghislaine Traber. "Inter-Rater Reliability of Cyclotorsion Measurements Using Fundus Photography." Klinische Monatsblätter für Augenheilkunde 235, no. 04 (2018): 420–23. http://dx.doi.org/10.1055/s-0044-101013.

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Abstract Background The foveo-papillary angle (FPA) on fundus photographs is the accepted standard for the measurement of ocular cyclotorsion. We assessed the inter-rater reliability of this method in healthy subjects and in patients with trochlear nerve palsies. Patients and Methods In this methodological study, fundus photographs of healthy subjects and of patients with trochlear nerve palsies were made with a fundus camera (Zeiss Fundus Camera FF 450 plus, Jena, Germany). Three independent observers measured the FPA on the fundus photographs of all subjects in synedra View (synedra View 16,

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Muñoz, Juan M., Rosa M. Coco, M. Rosa Sanabria, Ruben Cuadrado, and Eduardo Blanco. "Autofluorescence Images with Carl Zeiss versus Topcon Eye Fundus Camera: A Comparative Study." Journal of Ophthalmology 2013 (2013): 1–4. http://dx.doi.org/10.1155/2013/309192.

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Purpose. To compare the autofluorescence images of the Zeiss versus Topcon eye fundus cameras and design an objective way to quantify it.Procedures. The IMAGEJ software was used to determine the gray level corresponding to the darkest veins and the peripapillary ring (thresholds), the level of white of the brightest perifoveal area, their difference (contrast level), and the suprathreshold area for each photograph.Results. Carl Zeiss has higher contrast values than Topcon. The Topcon contrast presented a crest with further decline as the suprathreshold area continued to increase. On the contra

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Yogesan, K., M. Cuypers, C. J. Barry, I. J. Constable, and L. Jitskaia. "Tele-ophthalmology screening for retinal and anterior segment diseases." Journal of Telemedicine and Telecare 6, no. 1_suppl (2000): 96–98. http://dx.doi.org/10.1258/1357633001934302.

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A digital indirect ophthalmoscope (DIO) was developed and tested for use in tele-ophthalmology screening for posterior and anterior segment diseases. Using custom software, images from the DIO were digitized, compressed, stored and transmitted to a centralized eye clinic for interpretation. A total of 43 subjects were primarily screened for glaucoma using the DIO, a hand-held fundus camera and a stereo fundus camera. The photographic slides from the stereo fundus camera were used as gold standards. Images (390 × 300 pixels × 3 bits) were stored using a laptop computer together with patient inf

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45

Panzardi, G., M. C. Donati, G. Longobardi, and P. Poggi. "Choroidal Angiography with Indocyanine Green Dye: Absorption and Fluorescence Techniques." European Journal of Ophthalmology 2, no. 2 (1992): 83–85. http://dx.doi.org/10.1177/112067219200200206.

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The results of choroidal indocyanine green (I.C.G.) angiography by the absorption and fluorescence techniques are compared. Both techniques were done using the same apparatus, a modified fundus camera, an image intensifier coupled to a solid-state video camera and a U Matic video recorder. Both were performed with the same dye dilution in the same patients, at a 24-hour interval. The light source was the unmodified 50 Watt halogen light bulb of the fundus camera. The angiograms obtained by the absorption and the fluorescence techniques refer to the same chorioretinal area and the same angiogra

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46

Park, Sung Pyo, Frank S. Siringo, Noelle Pensec, et al. "Comparison of Fundus Autofluorescence Between Fundus Camera and Confocal Scanning Laser Ophthalmoscope–based Systems." Ophthalmic Surgery, Lasers and Imaging Retina 44, no. 6 (2013): 536–43. http://dx.doi.org/10.3928/23258160-20131105-04.

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47

Yarovoy, A. A., A. V. Kotelnikova, V. A. Yarovaya, A. D. Matyaeva, and E. O. Krasnova. "Ophthalmological manifestations of familial adenomatous colon polyposis." Russian ophthalmology of children, no. 2 (July 31, 2023): 39–44. http://dx.doi.org/10.25276/2307-6658-2023-2-39-44.

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Purpose. To describe a rare clinical case of bilateral ophthalmic manifestations of familial adenomatous polyposis of the colon. Material and methods. A multimodal imaging complex was carried out, which included the following methods: photo registration on the fundus camera Visucam 500 (Zeiss, Germany) and pediatric retinal camera RetCam 3 (Clarity, USA). Results. Familial adenomatous polyposis (FAP) is a hereditary disease of the colon characterized by adenomatous colon polyps, which in 100% of cases malignize into adenocarcinoma without proper early management. There are some forms of FAP wi

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48

Srinivasan, Ramyaa, Janani Surya, Paisan Ruamviboonsuk, Peranut Chotcomwongse, and Rajiv Raman. "Influence of Different Types of Retinal Cameras on the Performance of Deep Learning Algorithms in Diabetic Retinopathy Screening." Life 12, no. 10 (2022): 1610. http://dx.doi.org/10.3390/life12101610.

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Background: The aim of this study was to assess the performance of regional graders and artificial intelligence algorithms across retinal cameras with different specifications in classifying an image as gradable and ungradable. Methods: Study subjects were included from a community-based nationwide diabetic retinopathy screening program in Thailand. Various non-mydriatic fundus cameras were used for image acquisition, including Kowa Nonmyd, Kowa Nonmyd α-DⅢ, Kowa Nonmyd 7, Kowa Nonmyd WX, Kowa VX 10 α, Kowa VX 20 and Nidek AFC 210. All retinal photographs were graded by deep learning algorithm

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Haishui Ye, Haishui Ye, Zhishan Gao Zhishan Gao, Zhenyu Qin Zhenyu Qin, and Qianwen Wang Qianwen Wang. "Near-infrared fundus camera based on polarization switch in stray light elimination." Chinese Optics Letters 11, no. 3 (2013): 031702–31705. http://dx.doi.org/10.3788/col201311.031702.

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50

Wijk, Chris van. "Canon CX-1 Combines Mydriatic and Non-mydriatic Multiple-mode Digital Retinal Imaging in One System." European Ophthalmic Review 04, no. 01 (2010): 21. http://dx.doi.org/10.17925/eor.2010.04.01.21.

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Canon’s CX-1 digital retinal camera is the latest innovation in its eye-care portfolio. Incorporating Canon’s electro-optical system (EOS) camera technology, the compact, fully portable system is synergised for mydriatic and non-mydriatic imaging in five modes, including fundus autofluorescence (FAF).

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