The DOI matches its Crossref record; 215 of the 232 references it cites were found in a registry or an index.
Retinal stimulation strategies to restore vision: Fundamentals and systems
Open accessAbstract
Retinal degeneration, a leading cause of blindness worldwide, is primarily characterized by the dysfunctional/degenerated photoreceptors that impair the ability of the retina to detect light. Our group and others have shown that bioelectronic retinal implants restore useful visual input to those who have been blind for decades. This unprecedented approach of restoring sight demonstrates that patients can adapt to new visual input, and thereby opens up opportunities to not only improve this technology but also develop alternative retinal stimulation approaches. These future improvements or new technologies could have the potential of selectively stimulating specific cell classes in the inner retina, leading to improved visual resolution and color vision. In this review we will detail the progress of bioelectronic retinal implants and future devices in this genre as well as discuss other technologies such as optogenetics, chemical photoswitches, and ultrasound stimulation. We will discuss the principles, biological aspects, technology development, current status, clinical outcomes/prospects, and challenges for each approach. The review will cover functional imaging documented cortical responses to retinal stimulation in blind patients.
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
“Subretinal prostheses are typically small in size, since large subretinal implants might encounter considerable difficulty in the surgical placement and represent a high risk of retinal detachment [32].”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [32]
Citations
Cites
Hartong, D. T., Berson, E. L., & Dryja, T. P. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69740-7 · Cited by 2,924
Prevalence of Age-Related Macular Degeneration in the United States
The Eye Diseases Prevalence Research Group* (2004) · Archives of Ophthalmology · doi:10.1001/archopht.122.4.564 · Cited by 2,774
Intravitreal aflibercept (VEGF trap-eye) in wet age-related macular degeneration
Heier, J. S., Brown, D. M., Chong, V., Korobelnik, J.-F., Kaiser, P. K., Nguyen, Q. D., Kirchhof, B., Ho, A., Ogura, Y., Yancopoulos, G. D., et al. (2012) · Ophthalmology · doi:10.1016/j.ophtha.2012.09.006 · Cited by 2,485
Independent optical excitation of distinct neural populations
Klapoetke, N. C., Murata, Y., Kim, S. S., Pulver, S. R., Birdsey-Benson, A., Cho, Y. K., Morimoto, T. K., Chuong, A. S., Carpenter, E. J., Tian, Z., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2836 · Cited by 2,344
Neural Stimulation and Recording Electrodes
Cogan, S. F. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160518 · Cited by 2,243
Electrical stimulation of excitable tissue: design of efficacious and safe protocols
Merrill, D. R., Bikson, M., & Jefferys, J. G. R. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.10.020 · Cited by 2,078
Azobenzene photoswitches for biomolecules
Beharry, A. A., & Woolley, G. A. (2011) · Chemical Society Reviews · doi:10.1039/c1cs15023e · Cited by 1,884
Schwartz, S. D., Regillo, C. D., Lam, B. L., Eliott, D., Rosenfeld, P. J., Gregori, N. Z., Hubschman, J.-P., Davis, J. L., Heilwell, G., Spirn, M., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61376-3 · Cited by 1,327
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
Molecular and Cellular Approaches for Diversifying and Extending Optogenetics
Gradinaru, V., Zhang, F., Ramakrishnan, C., Mattis, J., Prakash, R., Diester, I., Goshen, I., Thompson, K. R., & Deisseroth, K. A. (2010) · Cell · doi:10.1016/j.cell.2010.02.037 · Cited by 1,040
Flagged first, then by citations
17 of the 232 references couldn’t be matched to a known paper.
Research works printed but not linked: 8
- Dacey, 2008, Physiology, morphology and spatial densities of identified ganglion cell, Ciba Found. Symp., 765, 12
- Luo, 2014, The use of Argus® II retinal prosthesis to identify common objects in blind subjects with outer retinal dystrophies, Investig. Ophthalmol. Vis. Sci., 55, 1834
- Milam, 1998, Histopathology of the human retina in retinitis pigmentosa, Prog. Retin. Eye Res., 17, 175
- Richard, 2007, Chronic epiretinal chip implant in blind patients with retinitis pigmentosa: long-term clinical results, Investig. Ophthalmol. Vis. Sci., 48, 666
- Stanga, 2011, Patients blinded by outer retinal dystrophies are able to perceive color using the ArgusTm II retinal prosthesis system, Investig. Ophthalmol. Vis. Sci., 52, 4949
- Stanga, 2012, Patients blinded by outer retinal dystrophies are able to perceive simultaneous colors using the Argus® II retinal prosthesis system, Investig. Ophthalmol. Vis. Sci., 53, 6952
- Yue, 2013, Potentiation of bipolar cell GABAA receptors by a photo-isomerizable compound, Investig. Ophthalmol. Vis. Sci., 54, 1761
- Zrenner, 2015, Oculomotor behavior of blind patients seeing with subretinal visual implant Alpha IMS, Investig. Ophthalmol. Vis. Sci., 56, 751
Cited by
Sorted by citations
Items 101–200 of 268
Sharif, N. A. (2022) · Journal of Ocular Pharmacology and Therapeutics · doi:10.1089/jop.2022.0046 · Cited by 18
Lin28b stimulates the reprogramming of rat Müller glia to retinal progenitors
Zhao, C., Tao, Z., Xue, L., Zeng, Y., Wang, Y., Xu, H., & Yin, Z. Q. (2017) · Experimental Cell Research · doi:10.1016/j.yexcr.2017.02.010 · Cited by 16
Stefanov, A., & Flannery, J. G. (2022) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041304 · Cited by 16
Optogenetic restoration of high sensitivity vision with bReaChES, a red-shifted channelrhodopsin
Too, L. K., Shen, W., Protti, D. A., Sawatari, A., Black, D. A., Leamey, C. A., Huang, J. Y., Lee, S., Mathai, A. E., Lisowski, L., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-23572-4 · Cited by 15
Yuhong, Z., Liu, X., Ma, J., Wang, Z., Jiang, H., Sun, C., Jeong, D., Guan, H., & Chu, B. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c12460 · Cited by 15
Zeng, Q., Huang, Z., Cai, G., & Wu, T. (2021) · Advanced Materials Interfaces · doi:10.1002/admi.202100965 · Cited by 14
Bioinspired Structures and Design
Askarinejad, S., & Rahbar, N. (2020) · Cambridge University Press eBooks · doi:10.1017/9781139058995 · Cited by 15
Sun, P., Li, H., Lu, Z., Su, X., Ma, Z., Chen, J., Li, L., Zhou, C., Chen, Y., & Chai, X. (2018) · Brain stimulation · doi:10.1016/j.brs.2018.02.009 · Cited by 13
Cabello, M., Mozo, M., de la Cerda, B., Aracil, C., Diaz-Corrales, F. J. J., Perdigones, F., Valdés-Sánchez, L., Relimpio, I., Bhattacharya, S. S., & Quero, J. M. (2019) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2019.02.118 · Cited by 13
Montazeri, L., Zarif, N. E., Trenholm, S., & Sawan, M. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2019.2951298 · Cited by 13
Žužić, M., Striebel, J., Pawlick, J. S., Sharma, K., Holz, F. G., & Busskamp, V. (2022) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2022.101065 · Cited by 12
Minimizing iridium oxide electrodes for high visual acuity subretinal stimulation
Damle, S., Carleton, M., Kapogianis, T., Arya, S., Cavichini-Corderio, M., Freeman, W. R., Lo, Y.-H., & Oesch, N. W. (2021) · eNeuro · doi:10.1523/eneuro.0506-20.2021 · Cited by 11
“The ultimate goal of retinal prosthetics is to create patterns of action potentials in the RGC layer that encode the spatiotemporal properties of visual scenes, which are then relayed to the brain (Goetz and Palanker, 2016; Yue et al., 2016).”
BackgroundCell-cell interaction in the pathogenesis of inherited retinal diseases
Du, X., Butler, A. G., & Chen, H. Y. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1332944 · Cited by 12
Electrical stimulation of different retinal components and the effect of asymmetric pulses
Raz-Prag, D., Beit-Yaakov, G., & Hanein, Y. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.07.028 · Cited by 11
Li, H., Zeng, Y., Lu, Z., Cao, X., Su, X., Sui, X., Wang, J., & Chai, X. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa966d · Cited by 11
Cao, K., Lyons, E. F., Smith, B. E., Denlinger, B. L., Ma, H., Shirian, J. D., & Krämer, R. (2021) · Advanced Therapeutics · doi:10.1002/adtp.202100127 · Cited by 13
Recognition of Moving Object in High Dynamic Scene for Visual Prosthesis
Guo, F., Yang, Y. W., Yang, X. I. A. O., Gao, Y. M., & Yu, N. (2019) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2018edp7405 · Cited by 11
Sharif, N. A. (2022) · Current Research in Neurobiology · doi:10.1016/j.crneur.2022.100037 · Cited by 11
The role of the visual field size in artificial vision
Ghezzi, D. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acc7cd · Cited by 13
The visual cortical responses to sinusoidal transcorneal electrical stimulation
Su, X., Zhou, M., Di, L., Chen, J., Zhai, Z., Liang, J., Li, L., Li, H., & Chai, X. (2022) · Brain Research · doi:10.1016/j.brainres.2022.147875 · Cited by 11
Kosta, P., Loizos, K., & Lazzi, G. (2020) · Healthcare Technology Letters · doi:10.1049/htl.2019.0115 · Cited by 13
Cieślik, A., Shymborska, Y., Tymetska, S., Stetsyshyn, Y., Bernasik, A., Brzychczy‐Włoch, M., Drożdż, K., Szajna, K., Krok, F., Budkowski, A., et al. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.162985 · Cited by 9
Ultrasound stimulation for non-invasive visual prostheses
Badadhe, J. D., Roh, H., Lee, B. C., Kim, J. H., & Im, M. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.971148 · Cited by 9
Bionic Vision Processing for Epiretinal Implant-Based Metaverse
Hu, H., Chen, C. P., Li, G., Jin, Z., Chu, Q., Han, B., & Zou, S. P. (2024) · ACS Applied Optical Materials · doi:10.1021/acsaom.3c00431 · Cited by 9
Wang, Z., Ma, J., Liu, J., Liu, X., Yuhong, Z., Guan, H., Sun, C., & Chu, B. (2024) · Nano Energy · doi:10.1016/j.nanoen.2024.110002 · Cited by 9
Prospects of Optogenetic Prosthesis of the Degenerative Retina of the Eye
Оstrovsky, М. А., & Kirpichnikov, M. P. (2019) · Biochemistry (Moscow) · doi:10.1134/s0006297919050031 · Cited by 9
Degenerated Cones in Cultured Human Retinas Can Successfully Be Optogenetically Reactivated
Kamar, S., Howlett, M. H. C., Klooster, J., de Graaff, W., Csikós, T., Rabelink, M. J. W. E., Hoeben, R. C., & Kamermans, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21020522 · Cited by 9
Neuromodulation using electroosmosis
Kare, S. S., Rountree, C. M., Troy, J. B., Finan, J. D., & Saggere, L. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac00d3 · Cited by 9
Du, J., Morales, A., Kosta, P., Bouteiller, J. C., Martı́nez, G., Warren, D. J., Fernández, E., & Lazzi, G. (2023) · International Journal of Neural Systems · doi:10.1142/s0129065723500223 · Cited by 9
Pre‐processing visual scenes for retinal prosthesis systems: A comprehensive review
Holiel, H. A., Fawzi, S. A., & Al‐Atabany, W. (2024) · Artificial Organs · doi:10.1111/aor.14824 · Cited by 11
Oh, Y., Hong, J., & Kim, J. (2024) · PLoS ONE · doi:10.1371/journal.pone.0305132 · Cited by 8
Suspended Silicon Microphotodiodes for Electrochemical and Biological Applications
Vargas‐Estevez, C., Duch, M., Duque, M., del Campo, F. J., Enríquez-Barreto, L., Murillo, G., Torras, N., Plaza, J. A., Saura, C. A., & Estéve, J. (2017) · Small · doi:10.1002/smll.201701920 · Cited by 8
Sun, P., Li, Q., Li, H., Di, L., Su, X., Chen, J., Zheng, H., Chen, Y., Zhou, C., & Chai, X. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2912168 · Cited by 8
Li, Z. M., Hu, Z., & Gao, Z. (2025) · Bioengineering · doi:10.3390/bioengineering12030278 · Cited by 7
Artificial vision: principles and prospects
Gilhooley, M. J., & Acheson, J. F. (2016) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000412 · Cited by 7
Kominami, T., Ueno, S., Okado, S., Nakanishi, A., Kondo, M., & Terasaki, H. (2017) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.16-20344 · Cited by 7
Sensory augmentation to aid training with retinal prostheses
Kvansakul, J. G. S., Hamilton, L. H. W., Ayton, L. N., McCarthy, C. D., & Petoe, M. A. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab9e1d · Cited by 7
Electrophysiological investigation of intact retina with soft printed organic neural interface
Vėbraitė, I., David‐Pur, M., Rand, D., Głowacki, E. D., & Hanein, Y. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac36ab · Cited by 7
Optimizing the fabrication of a 3D high-resolution implant for neural stimulation
Shpun, G., Farah, N., Chemla, Y., Markus, A., Leibovitch, T. A., Lasnoy, E., Gerber, D., Zalevsky, Z., & Mandel, Y. (2023) · Journal of Biological Engineering · doi:10.1186/s13036-023-00370-8 · Cited by 7
Bamboo-Inspired Materials and Structures
Tan, T., & Soboyejo, W. O. (2020) · Cambridge University Press eBooks · doi:10.1017/9781139058995.005 · Cited by 7
Monitoring Cortical Response and Electrode-Retina Impedance Under Epiretinal Stimulation in Rats
Xie, H., Wang, Y., Ye, Z., Fang, S., Xu, Z., Wu, T., & Chan, L. L. H. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3090904 · Cited by 8
Cheng, B. (2020) · Cambridge University Press eBooks · doi:10.1017/9781139058995.012 · Cited by 7
Chung, S.-H., Kim, C., Kim, M., Choi, D., Son, Y., Roh, H., Lee, B. C., Lee, H., Kim, Y., Lee, S.-K., et al. (2025) · Microsystems & Nanoengineering · doi:10.1038/s41378-025-01093-0 · Cited by 6
Kang, H., Kim, J.-Y., & Kim, J. (2023) · Sensors · doi:10.3390/s23146501 · Cited by 6
Senior–Loken Syndrome: Ocular Perspectives on Genetics, Pathogenesis, and Management
Zhou, D., Zeng, Y., Luo, W., Leng, C., & Li, C. (2025) · Biomolecules · doi:10.3390/biom15050667 · Cited by 7
Noda, T., Nakano, Y., Terasawa, Y., Haruta, M., Sasagawa, K., Tokuda, T., & Ohta, J. (2018) · Japanese Journal of Applied Physics · doi:10.7567/jjap.57.1002b3 · Cited by 6
A hierarchical image processing strategy for artificial retinal prostheses
Jiang, H., Li, H., Liang, J., & Chai, X. (2020) · International Conference on Artificial Intelligence and Computer Engineering (ICAICE) · doi:10.1109/icaice51518.2020.00075 · Cited by 6
Jung, R., Kelbsch, C., Wilhelm, H. M., Wilhelm, B., Straßer, T., Peters, T. M., Kempf, M., Kortüm, F. C., Pohl, L., Stingl, K. T., et al. (2022) · Experimental Eye Research · doi:10.1016/j.exer.2022.109185 · Cited by 6
Kang, H., Choi, H., & Kim, J. (2021) · Sensors · doi:10.3390/s21165638 · Cited by 5
Differences in the spatial fidelity of evoked and spontaneous signals in the degenerating retina
Carleton, M., & Oesch, N. W. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1040090 · Cited by 5
Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation
Romeni, S., Toni, L., Artoni, F., & Micera, S. (2024) · APL Bioengineering · doi:10.1063/5.0195680 · Cited by 5
Çelik, M. E., & Karagoz, I. (2017) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-017-2918-z · Cited by 5
Goriachenkov, A. A., Rotov, A. Y., & Firsov, M. L. (2021) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-021-01137-8 · Cited by 5
Machine Learning Method for Functional Assessment of Retinal Models
Papadopoulos, N., Melanitis, N., Lozano, A., Soto‐Sánchez, C., Fernández, E., & Nikita, K. S. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9629599 · Cited by 5
Tong, W., Stamp, M. E. M., Hejazi, M., Garrett, D. J., Prawer, S., & Ibbotson, M. R. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857347 · Cited by 5
Interfacing Neural Cells with Typical Microelectronics Materials for Future Manufacturing
Torres, F. P., Tokranova, N. A., Amodeo, E., Bertucci, T. B., Kiehl, T. R., Xie, Y., Cady, N. C., & Sharfstein, S. T. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115749 · Cited by 4
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
Arens-Arad, T., Lender, R., Farah, N., & Mandel, Y. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abdd42 · Cited by 4
Integrated Low-Voltage Compliance and Wide-Dynamic Stimulator Design for Neural Implantable Devices
Oh, Y., Hong, J., & Kim, J. (2023) · Sensors · doi:10.3390/s23010492 · Cited by 4
Retinal Prostheses: The Argus System
Lin, T., Yue, L., & Humayun, M. S. (2017) · Technology & Innovation · doi:10.21300/19.3.2018.605 · Cited by 4
Self-citationZheng, H., Yuan, J., Xiao, X., Ye, L., & Chen, C. (2022) · Current Gene Therapy · doi:10.2174/1566523222666220216101539 · Cited by 4
Haq, W., Basavaraju, S., Speck, A., & Zrenner, E. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac8ad0 · Cited by 4
Peiroten, L., Zrenner, E., & Haq, W. (2023) · Bioengineering · doi:10.3390/bioengineering10101208 · Cited by 4
Tashiro, H., Terasawa, Y., Kuwabara, M., Osawa, K., Tokuda, T., Ohta, J., & Fujikado, T. (2017) · Advanced Biomedical Engineering · doi:10.14326/abe.6.8 · Cited by 4
Stimulation strategies for selective activation of retinal ganglion cells
Chang, Y.-C., & Weiland, J. D. (2017) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2017.8008361 · Cited by 4
Self-citationLiang, J., Li, H., Chen, J., Zhai, Z., Wang, J., Di, L., & Chai, X. (2022) · Artificial Organs · doi:10.1111/aor.14247 · Cited by 4
Folch, A. (2016) · CRC Press eBooks · doi:10.1201/b12263-12 · Cited by 4
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
Oudeng, G., Banerjee, S., Wang, Q., Jiang, D., Fan, Y., Wu, H., Pan, F., & Yang, M. (2024) · Small · doi:10.1002/smll.202400300 · Cited by 3
Song, H. B., Campello, L., Mondal, A. K., Chen, H. Y., English, M. A., Glen, M., Vanlandingham, P. A., Farjo, R. A., & Swaroop, A. (2025) · eLife · doi:10.7554/elife.103888.3 · Cited by 6
Kuwabara, M., Tashiro, H., Terasawa, Y., Osawa, K., Tokuda, T., Ohta, J., & Fujikado, T. (2017) · Advanced Biomedical Engineering · doi:10.14326/abe.6.59 · Cited by 3
Huang, W. (2021) · IEEE MIT Undergraduate Research Technology Conference (URTC) · doi:10.1109/urtc54388.2021.9701618 · Cited by 3
Hu, J.-J., Jiang, N., Chen, J., Ying, P., Kang, M., Xu, S., Zou, J., Wei, H., Ling, Q., & Shao, Y. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.925412 · Cited by 4
Du, J., Morales, A., Kosta, P., Bouteiller, J. C., Martínez, G., Warren, D. J., Fernández, E., & Lazzi, G. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-06242-1_52 · 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
Yousefi, T., & Kassiri, H. (2024) · IEEE Access · doi:10.1109/access.2024.3399711 · Cited by 3
Predicting Eye Fixations Using Computer Vision Techniques
Alevizaki, A., Melanitis, N., & Nikita, K. S. (2019) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2019.00062 · Cited by 3
Alarautalahti, V., Hiltunen, M., Onnela, N., Nymark, S., Kellomäki, M., & Hyttinen, J. (2017) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbm.b.34024 · Cited by 3
Тахчиди, Х. П., Kachalina, G. F., Тахчиди, Н. Х., Маноян, Р. А., & Глизница, П. В. (2019) · Bulletin of Russian State Medical University · doi:10.24075/brsmu.2019.042 · 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
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
Robertson, E. G., Hetherington, K., Prain, M., Ma, A. S., Ayton, L. N., Jamieson, R. V., Shepard, E., Boyd, L., Hall, J., Boyd, R., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-100301 · Cited by 2
Revisiting retinal and macular degeneration in the genomics era
Swaroop, A., & Roska, B. (2026) · Nature Reviews Genetics · doi:10.1038/s41576-026-00960-4 · Cited by 2
Self-citationAquatic Animals Operating at High Reynolds Numbers
Fish, F. E. (2020) · Cambridge University Press eBooks · doi:10.1017/9781139058995.011 · Cited by 2
Analysis of Electric Field Stimulation in Blue Light Stressed 661W Cells
Bola, S., Subramanian, P., Calzia, D., Dahl, A., Panfoli, I., Funk, R. H. W., & Roehlecke, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043433 · Cited by 2
Recent Advancements in Bioelectronic Medicine: A Review
Das, S., Ghosh, B., Sahoo, R. N., & Nayak, A. K. (2024) · Current Drug Delivery · doi:10.2174/0115672018286832231218112557 · Cited by 2
Askew, L., Sweeney, A., Cox, D., & Shkunov, M. N. (2024) · Advanced Materials Interfaces · doi:10.1002/admi.202400128 · Cited by 4
Yousefi, T., Zoidl, G., & Kassiri, H. (2024) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2024.3488713 · Cited by 4
Implantation of multiple suprachoroidal electrode arrays in rabbits
Abdallah, W., Li, W., Weiland, J. D., Humayun, M. S., & Ameri, H. (2017) · Journal of Current Ophthalmology · doi:10.1016/j.joco.2017.11.007 · Cited by 2
Self-citationBae, 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
Virus Vectors for Optogenetic Prosthetization of the Retina
Rotov, A. Y., Nikolaeva, D. A., Astakhova, L. A., & Firsov, M. L. (2020) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-020-00911-4 · Cited by 2
A scalable data transmission scheme for implantable optogenetic visual prostheses
Hou, Z., Al‐Atabany, W., Farag, R., Vuong, Q. C., Mokhov, A., & Degenaar, P. A. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abaf2e · Cited by 2
PDE6B Mutation-associated Inherited Retinal Disease
Marconi, S., & Stout, J. T. (2021) · International Ophthalmology Clinics · doi:10.1097/iio.0000000000000367 · Cited by 2
Retinal Prostheses: Bioengineering Considerations
Chang, Y.-C., Weiland, J. D., & Humayun, M. S. (2017) · Essentials in ophthalmology/Essentials ophthalmology · doi:10.1007/978-3-319-67260-1_2 · Cited by 2
Self-citationShim, 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
1V 4.49nW/Pixel Retinal Prosthesis Chip with Light-to-Stimulus Duration Converter
Choi, D.-H., & Jee, D. (2021) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas51556.2021.9401380 · Cited by 2
Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with SpikesPreprint
Yu, Z., Liu, J. K., Jia, S., Zhang, Y., Zheng, Y., Tian, Y., & Huang, T. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.04064 · Cited by 2
Biomimetic graphitic carbon nitride nanoparticles enable multiscale biomodulationPreprint
Müller, C., Klompmaker, K. K., Zhang, Y., Zhang, J., Kalatanova, A. V., Li, P., Meng, L., Madsen, J. G., Jakobsen, T. S., Jørgensen, A. C., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.23.619813 · Cited by 2
Ma, S., Song, X., Guo, T., Zhou, F., Liu, Z., Chai, X., & Li, L. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10341049 · Cited by 1
Metadata
- Authors
- Yue, L., Weiland, J. D., Roska, B., & Humayun, M. S.
- Affiliations
- University of Southern California (US)
- University of Basel (CH)
- Corresponding author
- Humayun, Mark S.
- Venue
- Progress in Retinal and Eye Research
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 53
- Pages
- 21-47
- ISSN
- 1350-9462 (ISSN-L)
- OpenAlex
- W2401981424
- Cited by
- 272
- References
- 232
- Citations by year
- 2026: 12 · 2025: 22 · 2024: 28 · 2023: 19 · 2022: 30 · 2021: 35 · 2020: 43 · 2019: 31 · 2018: 22 · 2017: 26 · 2016: 4
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Progress in Retinal and Eye Research (acceptedVersion)
- PubMed (publishedVersion)
- Funders
- W. M. Keck Foundation
- National Science Foundation (NSF) (CBET-1404089)
- Juliette RP Vision Foundation
- Guangdong Innovative and Entrepreneurial and Research Team Program (2013S046)
- Shenzhen Peacock Plan of China
- 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
- retinal stimulation, retinal degeneration, blindness, photoreceptor degeneration, optogenetics, ultrasound stimulation, vision restoration, color vision, visual resolution
- MeSH terms
- Animals, Energy Metabolism, Humans, Retina, Retinal Degeneration, Vision, Ocular, Recovery of Function, Visual Prosthesis, Optogenetics
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