The DOI matches its Crossref record; 182 of the 189 references it cites were found in a registry or an index.
The Argus® II Retinal Prosthesis System
Abstract
The Argus(®) II Retinal Prosthesis System (Second Sight Medical Products) is the first prosthetic vision device to obtain regulatory approval in both Europe and the USA. As such it has entered the commercial market as a treatment for patients with profound vision loss from end-stage outer retinal disease, predominantly retinitis pigmentosa. To date, over 100 devices have been implanted worldwide, representing the largest group of patients currently treated with visual prostheses. The system works by direct stimulation of the relatively preserved inner retina via epiretinal microelectrodes, thereby replacing the function of the degenerated photoreceptors. Visual information from a glasses-mounted video camera is converted to a pixelated image by an external processor, before being transmitted to the microelectrode array at the macula. Elicited retinal responses are then relayed via the normal optic nerve to the cortex for interpretation. We reviewed the animal and human studies that led to the development of the Argus(®) II device. A sufficiently robust safety profile was demonstrated in the phase I/II clinical trial of 30 patients. Improvement of function in terms of orientation and mobility, target localisation, shape and object recognition, and reading of letters and short unrehearsed words have also been shown. There remains a wide variability in the functional outcomes amongst the patients and the factors contributing to these performance differences are still unclear. Future developments in terms of both software and hardware aimed at improving visual function have been proposed. Further experience in clinical outcomes is being acquired due to increasing implantation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The Argus II and PRIMA devices were designed to reduce FOV even further, thereby providing improved image resolution through a digital zoom.9,10,65”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [9]
In the citing paper
“Argus II can restore rudimentary vision of BVI, however, the image information delivered by the implant electrodes is quite limited, the high risks and high costs of invasive treatments have also hindered its widespread application.”
From StereoPilot: A Wearable Target Location System for Blind and Visually Impaired Using Spatial Audio Rendering (2022) · cites this paper as [4]
In the citing paper
“Its successor, the Argus II,9 used 60 electrodes, leading to demonstrably higher visual acuity21 compared to its predecessor”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [9]
In the citing paper
“Various RCPs have enabled blind individuals to perform simple visual tasks.9”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [9]
In the citing paper
“By this metric, comparison of visual acuity with the device switched ON and OFF showed improvement only for the PRIMA35 and Argus II9 devices.”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [9]
In the citing paper
“So far, retinal prostheses have reached marketing approval [23,53,111], and other devices are in preclinical and clinical testing.”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [111]
In the citing paper
“The Argus® II [111] was among the first implantable microelectrode arrays manufactured with cleanroom processes to be approved by regulatory agencies.”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [111]
In the citing paper
“Most clinical neural interfaces function in a monopolar configuration with a common and distant return ground placed several millimetres away [9-12].”
From Three-dimensional multilayer concentric bipolar electrodes restrict spatial activation in optic nerve stimulation (2022) · cites this paper as [9]
Citations
Cites
Hodgkin, A. L., & Huxley, A. F. (1952) · The Journal of Physiology · doi:10.1113/jphysiol.1952.sp004764 · Cited by 23,191
A model of saliency-based visual attention for rapid scene analysis
Itti, L., Christof Koch, A., & Niebur, E. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.730558 · Cited by 11,289
Wong, W. L., Su, X., Li, X., Cheung, C. M. G., Klein, R., Cheng, C., & Wong, T. Y. (2014) · The Lancet Global Health · doi:10.1016/s2214-109x(13)70145-1 · Cited by 5,545
Hartong, D. T., Berson, E. L., & Dryja, T. P. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69740-7 · Cited by 2,924
Topography of ganglion cells in human retina
Curcio, C. A., & Allen, K. A. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.903000103 · Cited by 1,849
The development and application of optogenetics
Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
Activation of the primary visual cortex by Braille reading in blind subjects
Sadato, N., Pascual-Leone, A., Grafman, J., Ibañez, V., Deiber, M.-P., Dold, G., & Hallett, M. (1996) · Nature · doi:10.1038/380526a0 · Cited by 1,253
Better speech recognition with cochlear implants
Wilson, B. S., Finley, C. C., Lawson, D. T., Wolford, R. D., Eddington, D. K., & Rabinowitz, W. M. (1991) · Nature · doi:10.1038/352236a0 · Cited by 1,211
The sensations produced by electrical stimulation of the visual cortex
Brindley, G. S., & Lewin, W. S. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008519 · Cited by 1,170
Cross-modal plasticity: where and how?
Bavelier, D., & Neville, H. J. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn848 · Cited by 1,040
Research works printed but not linked: 5
- Brindley, 1964, The number of information channels needed for efficient reading, J. Physiol., 44
- Dagnelie, 2014, (16:30) Electrically elicited ERGs and VEPs in Argus II recipients: a window into signal processing in the degenerated RP retina, Doc. Ophthalmol., 1, 34
- Foerster, 1929, Beiträge zur Pathophysiologie der Sehbahn und der Sehsphäre, J. Psychol. Neurol., 463
- Milam, 1998, Histopathology of the human retina in retinitis pigmentosa, Prog. Retin. Eye Res., 17, 175
- OECD, 2012. Magnetic resonance imaging (MRI) exams, total 2012/2. oecd-ilibrary.org. http://dx.doi.org/10.1787/mri-exam-total-table-2012-2-en. · DOI
Cited by
Sorted by citations
Items 201–300 of 355
Spatiotemporal Pixelization to Increase the Recognition Score of Characters for Retinal Prostheses
Kim, H.-S., & Park, K. S. (2017) · Sensors · doi:10.3390/s17102439 · Cited by 5
Colloidal self-assembly of soft neural interfaces from injectable photovoltaic microdevices
Jia, H., Huang, Z., Kaynak, M., & Sakar, M. S. (2023) · RSC Advances · doi:10.1039/d3ra03591c · Cited by 5
New Features of Receptive Fields in Mouse Retina through Spike-triggered Covariance
Ahn, J., Rueckauer, B., Yoo, Y., & Goo, Y. S. (2020) · Experimental Neurobiology · doi:10.5607/en.2020.29.1.38 · Cited by 5
McShane, M. J., Zavareh, A. T., & Jeevarathinam, A. S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822548-6.00133-3 · Cited by 6
Photovoltaic, wireless wide‐field epiretinal prosthesis to treat retinitis pigmentosa
Schulz, A., Knoll, T., Jaeger, T., Harzic, R. L., Stracke, F., Wien, S., Olsommer, Y., Meiser, I., Wagner, S., Rammensee, M., et al. (2024) · Acta Ophthalmologica · doi:10.1111/aos.16733 · Cited by 4
Retinal prosthesis: a comprehensive review
Menia, N. K., & Venkatesh, P. (2025) · Expert Review of Ophthalmology · doi:10.1080/17469899.2025.2474064 · Cited by 4
Lombardi, L., Petoe, M. A., Moussallem, L., Kolic, M., Baglin, E. K., Stefopoulos, S., Battiwalla, X., Walker, J. G., Barnes, N. M., Abbott, C. J., et al. (2025) · Translational Vision Science & Technology · doi:10.1167/tvst.14.5.11 · Cited by 4
Neyazi, B., Schwabe, K., Alam, M., Krauss, J. K., & Nakamura, M. (2016) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2016.06.004 · Cited by 4
Nazari, H. K., Falabella, P., Yue, L., Weiland, J. D., & Humayun, M. S. (2017) · Journal of VitreoRetinal Diseases · doi:10.1177/2474126417702067 · Cited by 4
Arens-Arad, T., Lender, R., Farah, N., & Mandel, Y. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abdd42 · Cited by 4
A YOLO-based Object Simplification Approach for Visual Prostheses
Elnabawy, R. H., Abdennadher, S., Hellwich, O., & Eldawlatly, S. (2022) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms55023.2022.00039 · Cited by 4
Learning Scene Representations for Human-assistive Displays Using Self-attention Networks
Ruiz-Serra, J., White, J., Petrie, S., Kameneva, T., & McCarthy, C. D. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3650111 · Cited by 4
Neural activity shaping in visual prostheses with deep learning
Castro, D., Grayden, D. B., Hamish Meffin, A., & Spencer, M. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad6186 · Cited by 6
Nakanishi, Y., Sasagawa, K., Siwadamrongpong, R., Shodo, K., Terasawa, Y., Takehara, H., Haruta, M., Tashiro, H., & Ohta, J. (2023) · Japanese Journal of Applied Physics · doi:10.35848/1347-4065/acb77d · Cited by 4
Abbasi, W. H., Choi, H., & Kim, J. (2022) · Sensors · doi:10.3390/s22082899 · Cited by 4
Qiu, S., Li, X., Li, X., & Li, L. (2017) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2017.8008352 · Cited by 4
Update on the Intraoperative OCT: Where Do We Stand?
Uchida, A., Srivastava, S. K., & Ehlers, J. P. (2018) · Current Ophthalmology Reports · doi:10.1007/s40135-018-0160-9 · Cited by 4
Stiles, N. R. B., Patel, V. R., & Weiland, J. D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/519850 · Cited by 4
PVGAN: a generative adversarial network for object simplification in prosthetic vision
Elnabawy, R. H., Abdennadher, S., Hellwich, O., & Eldawlatly, S. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac8acf · Cited by 3
Artificial nerve systems for use in bio-interactive prostheses
Kim, C. H., Seo, D., Lee, Y., & Lee, T. (2025) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-025-00197-z · Cited by 4
Spencer, M., Hosie, S., Tong, W., Shivdasani, M. N., Garrett, D. J., León, S. E. D., Brunton, E., Kameneva, T., Grayden, D. B., Fallon, J. B., et al. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/adfc9b · Cited by 3
AI-driven neural implants for vision and hearing: a qualitative study of user perspectives
van Stuijvenberg, O. C., Bassil, K. C., Broekman, M. L. D., Bredenoord, A. L., Frijns, J. H. M., & Jongsma, K. R. (2025) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2025.2559188 · Cited by 3
Vasireddy, P. K., Vilkhu, R. S., Lotlikar, A., Brown, J. B., Phillips, A., Gogliettino, A. R., Hays, M. R., Baum, C., Kato, E. J., Sharon, A., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2025.116917 · Cited by 3
Retinal prosthesis that incorporates the organization of the nerve fibre layer
FitzGibbon, T. (2017) · Clinical and Experimental Ophthalmology · doi:10.1111/ceo.12899 · Cited by 3
Wearable Glasses for Retinal Pigmentiosa Based on Optogenetics
Soltan, A., Maaskant, P. P., Armstrong, N., Al‐Atabany, W., Chaudet, L., Neil, M. A. A., & Degenaar, P. A. (2019) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2019.8702759 · Cited by 3
Bîlteanu, L., Geicu, O. I., Stanca, L., Pisoschi, A. M., Serban, F., Șerban, A. I., & Calu, V. (2021) · Biomolecules · doi:10.3390/biom11020215 · Cited by 3
A novel simulation paradigm utilising MRI-derived phosphene maps for cortical prosthetic vision
Wang, H. Z., & Wong, Y. T. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/aceca2 · Cited by 3
Nekui, O. D., Wang, W., Liu, C., Wang, Z., & Ding, B. (2023) · Sensors · doi:10.3390/s24010163 · Cited by 3
Han, S. H., Kim, T.-H., Kim, C., & Lee, S. (2024) · Science Progress · doi:10.1177/00368504241275372 · Cited by 3
Kasowski, J., Varshney, A., Sadeghi, R., & Beyeler, M. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/adecc4 · Cited by 5
Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants
Schoinas, E., Rastogi, A., Carter, A., Granley, J., & Beyeler, M. J. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11253762 · Cited by 4
Artificial Organs, Tissues, and Support Systems
Tashiro, H., Popović, M. B., Dobrev, I., & Terasawa, Y. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812939-5.00007-0 · Cited by 3
Huang, W. (2021) · IEEE MIT Undergraduate Research Technology Conference (URTC) · doi:10.1109/urtc54388.2021.9701618 · Cited by 3
Flexible neuromorphic transistors and their biomimetric sensing application
Jiang, Z., Ke, S., Zhu, Y. J., Zhu, Y., Zhu, L. Q., Wan, C., & Wan, Q. C. (2022) · Acta Physica Sinica · doi:10.7498/aps.71.20220308 · Cited by 3
Optogenetic approaches to gene therapy for vision restoration in retinal degenerative diseases
Mohanty, S. K., Idigo, C., Ayyagari, A. L., & Narcisse, D. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-819291-7.00004-6 · Cited by 3
Developing clinical grade flexible implantable electronics
Liu, Y., Balsamo, D., & Degenaar, P. A. (2022) · Flexible and Printed Electronics · doi:10.1088/2058-8585/aca779 · Cited by 4
Liang, Y., Du, B., Nakamura, K., Wang, S., Inoue, B., Aruga, Y., Kino, H., Fukushima, T., Kiyoyama, K., & Tanaka, T. (2022) · IEICE Electronics Express · doi:10.1587/elex.19.20220363 · Cited by 3
Pan, K., Hagiwara, T., Tso, K.-C., Siwadamrongpong, R., Akbar, L., Nakano, Y., Kono, T., Terasawa, Y., Haruta, M., Takehara, H., et al. (2022) · Japanese Journal of Applied Physics · doi:10.35848/1347-4065/acaca5 · Cited by 3
Failure Reason of PI Test Samples of Neural Implants
Guljakow, J., & Lang, W. (2023) · Sensors · doi:10.3390/s23031340 · Cited by 3
Assisting Visually Impaired Subjects Using Large Language Models: A Comprehensive Evaluation
Holiel, H. A., Fawzi, S. A., & Al‐Atabany, W. (2024) · Novel Intelligent and Leading Emerging Sciences Conference (NILES) · doi:10.1109/niles63360.2024.10753262 · Cited by 3
Supracortical Microstimulation: Advances in Microelectrode Design and In Vivo Validation
Schmitz, C. M., Smith, J. E., Rachinskiy, I., Pesaran, B., Vitale, F., Sommer, M. A., & Viventi, J. (2025) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-103023-072855 · Cited by 3
Spatiotemporal Pixelization to Increase the Recognition Score of Characters for Retinal Prostheses
Kim, H.-S., & Park, K. S. (2017) · Sensors · doi:10.3390/s17112439 · Cited by 3
Electrode Dropout Compensation in Visual Prostheses: An Optimal Object Placement Approach
Elnabawy, R. H., Abdennadher, S., Hellwich, O., & Eldawlatly, S. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630991 · Cited by 3
Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants
Schoinas, E., Rastogi, A., Carter, A., Granley, J., & Beyeler, M. (2025) · arXiv · doi:10.48550/arxiv.2502.00177 · Cited by 3
Visual Prostheses in the Era of Artificial Intelligence Technology
Sarbout, I., Gungor, A., Ounissi, M., Zaher, S., Ptito, M., Kupers, R., Racoceanu, D., & Milea, D. (2025) · Eye and Brain · doi:10.2147/eb.s524322 · Cited by 3
A computational model to design wide field-of-view optic nerve neuroprostheses
Micera, S., Romeni, S., De Luca, D., Pierantoni, L., Toni, L., Marino, G., & Moccia, S. (2023) · doi:10.21203/rs.3.rs-3218482/v1 · Cited by 2
Human-in-the-loop optimization of visual prosthetic stimulation
Fauvel, T., & Chalk, M. (2021) · doi:10.1101/2021.11.24.469867 · Cited by 15
A computational model to design wide field-of-view optic nerve neuroprostheses
Romeni, S., Luca, D. D., Pierantoni, L., Toni, L., Marino, G., Moccia, S., & Micera, S. (2024) · iScience · doi:10.1016/j.isci.2024.111321 · Cited by 2
Zhang, P., Nie, Y. G., Wang, X., Zhang, X., & Liu, L. (2025) · Bioactive Materials · doi:10.1016/j.bioactmat.2025.10.037 · Cited by 3
Zhang, B., You, X., Liu, Y. P., Xu, J., & Xu, S. (2026) · Sensors · doi:10.3390/s26020576 · Cited by 2
INTRAOPERATIVE OPTICAL COHERENCE TOMOGRAPHY AND ENDOSCOPY-GUIDED EXPLANTATION OF ARGUS II DEVICE
Cai, C. X., & Vajzovic, L. M. (2020) · Retinal Cases & Brief Reports · doi:10.1097/icb.0000000000000994 · Cited by 2
New retinal tack designs: an analysis of retention forces in human scleral tissue
Schwering, M. S., Oltrup, T., Rückheim, K. S., Bende, T., Bartz‐Schmidt, K. U., & Leitritz, M. A. (2020) · Graefe s Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-020-04689-6 · Cited by 2
Askew, L., Sweeney, A., Cox, D., & Shkunov, M. N. (2024) · Advanced Materials Interfaces · doi:10.1002/admi.202400128 · Cited by 4
Pattern-reversal visual evoked potentials in prosthetic vision and simulated visual reduction
He, Y., Toft-Nielsen, J., Legge, G. E., & Montezuma, S. R. (2024) · BMJ Open Ophthalmology · doi:10.1136/bmjophth-2024-001705 · Cited by 2
Visual cortical thickness increases with prolonged artificial vision restoration
Stiles, N. R. B., Choupan, J., Ameri, H., Patel, V. R., & Shi, Y. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf104 · Cited by 2
Characterization of individual retinal ganglion cell responses using K-means clustering method
Çelik, M. E., & Balouji, E. (2017) · International Artificial Intelligence and Data Processing Symposium (IDAP) · doi:10.1109/idap.2017.8090196 · Cited by 2
Bae, S. H., Jeong, J., Kim, S. J., Chung, H., & Seo, J.-M. (2018) · Translational Vision Science & Technology · doi:10.1167/tvst.7.4.17 · Cited by 2
Effect of NK-5962 on Gene Expression Profiling of Retina in a Rat Model of Retinitis Pigmentosa
Liu, S., Miyaji, M., Hosoya, O., & Matsuo, T. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413276 · Cited by 2
Shim, S., Seo, K., & Kim, S. J. (2020) · Journal of Artificial Organs · doi:10.1007/s10047-020-01168-x · Cited by 2
Li, W., Qin, S., Lu, Y., Wang, H., Xu, Z., & Wu, T. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246547 · Cited by 2
The effect of axon trajectory on retinal ganglion cell activation with epiretinal stimulation
Kish, K. E., Graham, R. D., Wong, K. Y., & Weiland, J. D. (2021) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner49283.2021.9441073 · Cited by 2
Benetatos, A., Melanitis, N., & Nikita, K. S. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630963 · Cited by 3
Li, T., Qiu, S., Song, X., & Li, L. (2019) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei48845.2019.8965791 · Cited by 1
Silicon Solar Cell-Integrated Flexible Retinal Prosthesis for Artificial Vision
Kim, C., Chung, S.-H., Kim, Y.-J., Roh, H., Lee, S.-K., Kim, Y., Lee, H., Park, J., Kang, M. G., & Im, M. (2025) · IEEE International Conference on Micro Electro Mechanical Systems (MEMS) · doi:10.1109/mems61431.2025.10917587 · Cited by 1
Xie, H., Ye, Z., & Chan, L. L. H. (2025) · Scientific Reports · doi:10.1038/s41598-025-08657-0 · Cited by 2
Saltzmann, S. M., & Stiles, N. R. B. (2025) · Journal of Vision · doi:10.1167/jov.25.12.19 · Cited by 1
Kim, J., & Seo, J.-M. (2025) · Biomedical Engineering Letters · doi:10.1007/s13534-025-00513-4 · Cited by 1
Object recognition from sparse simulated phosphenes and curved segments
Scialom, E., Ernst, U. A., Rotermund, D., & Herzog, M. H. (2025) · Vision Research · doi:10.1016/j.visres.2025.108718 · Cited by 3
Advances in the treatment of blinding retinal diseases
Zhao, L., Jin, S., Xu, W., Zhang, M., & Liu, X. (2025) · International Ophthalmology · doi:10.1007/s10792-025-03876-w · Cited by 1
Nanomaterial based photoacoustic interface for non-genetic neuromodulation
Li, D., Chen, G., Li, Y., Zheng, N., Du, Z., & Yang, C. (2026) · Nano Futures · doi:10.1088/2399-1984/ae44dc · Cited by 1
Mantero, G., Francia, S., Galluzzi, F., Telitsyn, N., Shmal, D., Cupini, S., Porzano, E., Perna, A., Vincenzi, M., Ribeiro, J. F., et al. (2026) · Cell Death and Disease · doi:10.1038/s41419-026-08510-w · Cited by 1
Toward an optoelectronic-based visual prosthesis: control unit design and validation
Ayed, H. B., Ali, M., Saha, S., Masmoudi, M., & Sawan, M. (2018) · Analog Integrated Circuits and Signal Processing · doi:10.1007/s10470-018-1294-2 · Cited by 1
Lytvynchuk, L. M., Falkner-Radler, C. I., Grzybowski, A. E., Glittenberg, C. G., Shams-Mafi, F., Ansari‐Shahrezaei, S., & Binder, S. (2019) · Spektrum der Augenheilkunde · doi:10.1007/s00717-019-0429-x · Cited by 1
Recent Developments in Maculopathy
Bandello, F. M., Battista, M., Brambati, M., Starace, V., Arrigo, A., & Parodi, M. B. (2019) · Springer eBooks · doi:10.1007/978-3-030-25389-9_6 · Cited by 1
Hemifacial Spasm in an Argus II Retinal Prosthesis Patient
Sun, S. Y., Mammo, D. A., Koozekanani, D. D., & Montezuma, S. R. (2019) · Journal of VitreoRetinal Diseases · doi:10.1177/2474126419890497 · Cited by 1
Phthisis Bulbi in a Retinitis Pigmentosa Patient after Argus II Implantation
Woude, L. V., Roohipourmoallai, R., & Khurshid, G. S. (2020) · Case Reports in Ophthalmological Medicine · doi:10.1155/2020/5608058 · Cited by 1
Neurosurgical Considerations for the Brain Computer Interface
Rosenfeld, J. V., Wong, Y. T., Szlawski, J., & Gutman, M. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_38-1 · Cited by 1
Wang, R., Yu, H., & Li, Z. (2017) · Toxinology · doi:10.1007/978-981-10-2798-7_41-1 · Cited by 2
Neurostimulators for high-resolution artificial retina: ASIC design challenges and solutions
Jeong, H., Kim, J., Seo, J.-M., & Neviani, A. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/aca262 · Cited by 1
The 2020 Roadmap for Bioelectronic Medicine
Lowe, A. L., & Thakor, N. V. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_121 · Cited by 1
Numerical Design of a Micro-LED Based Optogenetic Stimulator for Visual Cortical Prosthesis
Chen, J., Ding, H., Li, Y.-T., & Sheng, X. (2023) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/jstqe.2023.3332320 · Cited by 1
Demonstration of multi-point stimulation with AC-driven CMOS chips for retinal prosthesis
Nakanishi, Y., Sriitsaranusorn, W., Hattori, T., Tso, K.-C., Shodo, K., Terasawa, Y., Sunaga, Y., Takehara, H., Haruta, M., Tashiro, H., et al. (2024) · Japanese Journal of Applied Physics · doi:10.35848/1347-4065/ad1fad · Cited by 1
Liang, J., Li, H., Chai, X., Gao, Q., Zhou, M., Guo, T., Chen, Y., & Di, L. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad94a4 · Cited by 1
Visual Fixation-Based Retinal Prosthetic Simulation
Wu, Y., Nguyen, D. D. T., Konermann, H., Yilmaz, R., Walter, P., & Stegmaier, J. (2025) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi60581.2025.10980954 · Cited by 1
The Development of Visual Prosthetic Devices to Restore Vision to the Blind
Weiland, J. D., Humayun, M. S., & Calle, A. G. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-805353-9.00101-7 · Cited by 1
“Phosphenotype”, An extended social-distancing sensory modality for the blind
Sadrzadeh-Afsharazar, F., Mann, S., & Douplik, A. (2020) · International Conference on Multimedia Computing, Networking and Applications (MCNA) · doi:10.1109/mcna50957.2020.9264302 · Cited by 1
Effect of camera position on egocentric localisation with Simulated Prosthetic Vision
Prabhu, D., Wise, L. Z., MacMahon, C., Man, M. D., Petoe, M. A., & McCarthy, C. D. (2020) · Engineering Research Express · doi:10.1088/2631-8695/abcd51 · Cited by 1
Narendran, G., Kumar, A., Gnanasekaran, N., & Perumal, D. A. (2022) · ASME Open Journal of Engineering · doi:10.1115/1.4055465 · Cited by 1
Minimizing the number of phosphenes required for object recognition under prosthetic visionPreprint
Scialom, E., Ernst, U. A., Rotermund, D., & Herzog, M. H. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.26.614440 · Cited by 1
Zou, Y., Niu, H., Zhao, B., Yi, G.-L., Yang, M., Ju, J., Yin, J., & Li, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.12.688136 · Cited by 1
Update on clinical trials in retinal diseases
Kozak, I. (2016) · Middle East African Journal of Ophthalmology · doi:10.4103/0974-9233.173136
Moshiri, A., & Yazdanyar, A. (2018) · Current practices in ophthalmology · doi:10.1007/978-981-10-8545-1_5
Surgical Instrumentation and Devices
Ho, J., Nguyen, B. J., & Chao, D. L. (2018) · Current practices in ophthalmology · doi:10.1007/978-981-10-8545-1_9
Tokuda, T., Ohta, J., Tashiro, H., & Terasawa, Y. (2018) · Wiley eBooks · doi:10.1002/047134608x.w8370
Leber Congenital Amaurosis in Asia
Dharmaraj, S., Verma, A., Sundaresan, P., & Kannabiran, C. (2018) · Essentials in ophthalmology/Essentials ophthalmology · doi:10.1007/978-981-13-0884-0_18
A Low-Crosstalk 64-Pixel Stimulator Array Design for Subretinal Implants
Abbasi, W. H., Park, Y., Kim, J. K., Kim, J., & Kang, H. (2019) · International Conference on Electronics, Information, and Communication (ICEIC) · doi:10.23919/elinfocom.2019.8706386
Photovoltaic stimulation efficiently evokes network-mediated activity of retinal ganglion cellsPreprint
Chenais, N. A. L., Leccardi, M. J. I. A., & Ghezzi, D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/652404
Second generation of the optoelectronic visual prosthesis: Design and preliminary validation
Ayed, H. B., Masmoudi, J., & Masmoudi, M. (2019) · IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) · doi:10.1109/dtss.2019.8915265
LED-Based Optical Neural Implants
Yoo, S., Jun, S. B., & Ji, C. (2020) · Springer eBooks · doi:10.1007/978-3-030-42234-9_3
Gene Therapy for Inherited Retinal Disease
Dharmaraj, S. (2021) · Springer eBooks · doi:10.1007/978-981-33-4168-5_34
Metadata
- Authors
- Luo, Y. H.-L., & da Cruz, L.
- Affiliations
- Moorfields Eye Hospital NHS Foundation Trust (GB)
- ORCID
- Luo, Yvonne Hsu-Lin
- Venue
- Progress in Retinal and Eye Research
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 50
- Pages
- 89-107
- ISSN
- 1350-9462 (ISSN-L)
- OpenAlex
- W1778783464
- Cited by
- 351
- References
- 189
- Citations by year
- 2026: 21 · 2025: 36 · 2024: 32 · 2023: 36 · 2022: 38 · 2021: 43 · 2020: 37 · 2019: 36 · 2018: 33 · 2017: 24 · 2016: 14
- FWCI
- 2.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress in Retinal and Eye Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Health Sciences › Medicine › Ophthalmology › Retinal Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- Argus II, retinal prosthesis, retinitis pigmentosa, photoreceptor degeneration, vision loss, visual prosthesis, orientation and mobility, visual function outcomes, device safety, animal studies, clinical trials
- MeSH terms
- Animals, Blindness, Electrodes, Implanted, Electric Stimulation Therapy, Humans, Prosthesis Design, Retinal Diseases, Visual Acuity, Visual Perception, Visual Prosthesis, Implantable Neurostimulators
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
