The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.
Optical Coherence Tomography (OCT): Principle and Technical Realization
Open accessAbstract
Optical coherence tomography (OCT) is a non-invasive technique for cross-sectional tissue imaging. It typically uses light in the near-infrared spectral range which has a penetration depth of several hundred microns in tissue. The backscattered light is measured with an interferometric set-up to reconstruct the depth profile of the sample at the selected location. A scanning OCT beam allows for acquisition of cross-sectional images of the tissue structure. Different technical methods are introduced and compared regarding their properties like sensitivity, imaging speed and penetration depth. Regardless of the technical realization, axial resolution and imaging range of an OCT system are determined by light source and detector characteristics. Combining retinal OCT with a confocal scanning laser ophthalmoscope allows for motion tracking during acquisition and to examine the exact same position at any time again. Segmentation of features is the basis for automatic depth measurements and standardized measurements to be compared with normative databases. New trends show the ability of functional OCT to image flow, polarizing properties of tissue and even mechanical properties like elasticity. Recent approaches to improve the resolution and the acquisition speed show the ongoing research interest in OCT.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“OCT imaging at depth is negatively affected by absorption with light absorption and attenuation in upper tissue layers leading to less light reaching lower layers.”
From Effect of skin color on optical properties and the implications for medical optical technologies: a review (2024) · cites this paper as [85]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Huang, D., Swanson, E. A., Lin, C. P., Schuman, J. S., Stinson, W. G., Chang, W., Hee, M. R., Flotte, T., Gregory, K. W., Puliafito, C. A., et al. (1991) · Science · doi:10.1126/science.1957169 · Cited by 14,001
Optical coherence tomography - principles and applications
FERCHER, A. F., Drexler, W., Hitzenberger, C. K. F., & Lasser, T. (2003) · Reports on Progress in Physics · doi:10.1088/0034-4885/66/2/204 · Cited by 1,871
Performance of fourier domain vs time domain optical coherence tomography
Leitgeb, R. A., Hitzenberger, C. K. F., & FERCHER, A. F. (2003) · Optics Express · doi:10.1364/oe.11.000889 · Cited by 1,859
Sensitivity advantage of swept source and Fourier domain optical coherence tomography
Choma, M. A., Šarunic, M. V., Yang, C., & Izatt, J. A. (2003) · Optics Express · doi:10.1364/oe.11.002183 · Cited by 1,789
de Boer, J. F., Cense, B., Park, B. H., Pierce, M. C., Tearney, G. J., & Bouma, B. E. (2003) · Optics Letters · doi:10.1364/ol.28.002067 · Cited by 1,245
Measurement of intraocular distances by backscattering spectral interferometry
FERCHER, A. F., Hitzenberger, C. K. F., Kamp, G., & El-Zaiat, S. Y. (1995) · Optics Communications · doi:10.1016/0030-4018(95)00119-s · Cited by 1,208
von Braunmühl, T. (2015) · Der Hautarzt · doi:10.1007/s00105-015-3607-z · Cited by 1,036
Huber, R. A., Wojtkowski, M., & Fujimoto, J. G. (2006) · Optics Express · doi:10.1364/oe.14.003225 · Cited by 982
Refractive indices of water and ice in the 065- to 25-μm spectral range
Kou, L., Labrie, D., & Chýlek, P. (1993) · Applied Optics · doi:10.1364/ao.32.003531 · Cited by 804
Optical coherence tomography using a frequency-tunable optical source
Chinn, S. R., Swanson, E. A., & Fujimoto, J. G. (1997) · Optics Letters · doi:10.1364/ol.22.000340 · Cited by 666
Flagged first, then by citations
1 of the 46 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 449
Near-Infrared Spectroscopy Technique and Its Application in Biomedical Fields
Huang, Z., & Zhang, H. (2025) · IntechOpen eBooks · doi:10.5772/intechopen.1006840 · Cited by 2
Yuxuan, 李. L., Yanping, 黄. H., Jingjiang, 许. X., Jia, 秦. Q., Lin, 安. A., & Gongpu, 蓝. L. (2025) · Laser & Optoelectronics Progress · doi:10.3788/lop241909 · Cited by 1
Computational tomography: high-resolution tomographic cell imaging via transmission matrix
Lliu, K., Wu, J., Tianhe, W., Cao, J., Zhang, J., Li, K., Chen, X., He, Y., Zhou, Q., Wang, P., et al. (2025) · Optica · doi:10.1364/optica.555278 · Cited by 1
Kalita, H., Dandapat, S., & Bora, P. K. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.107856 · Cited by 1
Differential Impact of Retinal Lesions on Visual Responses of LGN X and Y Cells
Yang, J., Huxlin, K. R., & Briggs, F. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0436-25.2025 · Cited by 1
Nonmechanical spectral domain optical coherence tomography using an electrowetting beam-scanner
Gilinsky, S. D., Miscles, E. J., Bartoš, J., Musgrave, J., Huang, S., Bright, V. M., & Gopinath, J. T. (2025) · Optics Express · doi:10.1364/oe.565684 · Cited by 1
A modeling technique for optical coherence tomography (OCT) system
Ahmadinia, A., Batebi, S., & Abdollahi, S. R. (2025) · Journal of Optics · doi:10.1007/s12596-025-02823-3 · Cited by 1
Jiang, Z., Ren, K., Hao, Z., & Wang, Z. (2025) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2025.102596 · Cited by 1
Three-Dimensional Reconstruction of Early Embryos Based on Controllable Acoustofluidic Rotation
Bai, C., Chen, Z., Li, Y., Liu, F., Huang, Q., Arai, T., & Liu, X. (2025) · IEEE International Conference on Cyborg and Bionic Systems (CBS) · doi:10.1109/cbs65871.2025.11267525 · Cited by 1
Toward integrated sensors for optimized optical coherence tomography with undetected photons
Roeder, F., Pollmann, R., Quiring, V., Eigner, C., Brecht, B., & Silberhorn, C. (2026) · Physical Review Applied · doi:10.1103/cwsx-42c4 · Cited by 1
Smart Sensor Technologies and Wearable IoT for Healthcare
Sun, H., Shukla, R. P., & Daniele, M. A.-A. (2026) · Springer eBooks · doi:10.1007/978-3-032-06286-4_4 · Cited by 1
Lee, K. M. (2021) · Springer eBooks · doi:10.1007/978-981-16-1178-0_1 · Cited by 1
Djinović, Z., Tomić, M., & Plank, N. (2021) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.23919/mipro52101.2021.9596875 · Cited by 1
Retinal nerve fibre layer changes in optic neuritis in Indian population
Kowsalya, A., Ravikumar, A., Muraleedharan, M., Kasthuribai, H., & Chaudhary, S. (2022) · TNOA Journal of Ophthalmic Science and Research · doi:10.4103/tjosr.tjosr_41_22 · Cited by 1
Current usage of electrophysiological tests in a secondary referral hospital in Korea
Song, M. Y., & Kim, U. S. (2022) · Documenta Ophthalmologica · doi:10.1007/s10633-022-09894-8 · Cited by 1
Ia, M., Alferova, I. V., Bogomolov, V. V., Voronkov, Y. I., & Anikeev, D. A. (2022) · Human Physiology · doi:10.1134/s0362119722700086 · Cited by 1
Depth resolved imaging by digital holography via sample-shifting
Jiang, Z., Veetil, S. P., He, X., Sun, A., Kong, Y., Liu, C., & Zhu, J. (2023) · Journal of Optics · doi:10.1088/2040-8986/acc74f · Cited by 1
Optical Imaging for Diagnosing Cardiovascular Disease
Song, J. (2022) · Research & Development in Material Science · doi:10.31031/rdms.2022.18.000931 · Cited by 1
Hooper, F. S. W., Yuan, R., Revin, D. G., Anumba, D. O. C., & Matcher, S. J. (2023) · Optical Coherence Imaging Techniques and Imaging in Scattering Media · doi:10.1117/12.2670355 · Cited by 1
Vidal, P. L., de Moura, J., Almuiña-Varela, P., Fernández, M. I., Ortega, M., & Novo, J. (2023) · Applied Intelligence · doi:10.1007/s10489-023-04656-8 · Cited by 1
Zhang, T., Zhang, Y., Li, C., & Huang, Z. (2023) · IEEE International Ultrasonics Symposium · doi:10.1109/ius51837.2023.10307395 · Cited by 1
RETINOPATI DIABETIK: PATOGENESIS, DIAGNOSIS, TATALAKSANA KINI DAN MASA DEPAN
Ulfayani, N., & Haitsam, M. (2023) · Jurnal Klinik dan Riset Kesehatan · doi:10.11594/jk-risk.03.1.4 · Cited by 1
Ex Vivo Micro-CT in Ophthalmology: Preparation and Contrasting for Non-invasive 3D-Visualisation
Keiler, J., Stahnke, T., Guthoff, R. F., Wree, A., & Runge, J. (2023) · Klinische Monatsblätter für Augenheilkunde · doi:10.1055/a-2111-8415 · Cited by 1
Mukhtar, S., Hassan, N., Lakhani, M., Fatima, U., Shaheen, S., & Raza, I. (2024) · Life and Science · doi:10.37185/lns.1.1.480 · Cited by 1
Diabetic Retinopathy Diagnosis using Machine Learning Techniques
Fakhfakh, D., & Ennouri, K. (2022) · Asclepius Medical Research and Reviews · doi:10.33309/2639-8605.040203 · Cited by 1
Principles of microscopy for ophthalmologists
Amos, W. B. (2024) · Eye · doi:10.1038/s41433-024-02970-0 · Cited by 1
Enhanced properties of the mid-infrared superluminescent emitter with a composite waveguide
Liu, Y., Jiang, T., Zhan, Z., Wang, X., Luo, J., Liu, C., Li, J., Chen, F., Peng, L., & Wu, W. (2024) · Applied Optics · doi:10.1364/ao.519659 · Cited by 1
Advanced Deep Learning Models for Accurate Retinal Disease State Detection
Abbasi, H., Alshaeeb, A., Orouskhani, Y., Rahimi, B., & Shomalzadeh, M. (2024) · International Journal of Information Technology and Computer Science · doi:10.5815/ijitcs.2024.03.06 · Cited by 1
Eckardt, F., Klaas, J. E., Siedlecki, J., Schworm, B., Keidel, L. F., Vogt, D., Kreutzer, T. C., & Priglinger, S. G. (2025) · Klinische Monatsblätter für Augenheilkunde · doi:10.1055/a-2441-7791 · Cited by 1
Liao, J., Zhang, T., Li, C., & Huang, Z. (2025) · Journal of Biophotonics · doi:10.1002/jbio.70050 · Cited by 1
Angelsky, O. V., Bekshaev, A. Y., Zenkova, C. Y., Ivanskyi, D. I., Zheng, J. B., Zhang, X., & Ursuliak, Y. (2025) · Journal of Biophotonics · doi:10.1002/jbio.202500101 · Cited by 1
Konwar, S., Kumar, N., Malik, K. S., & Buddha, S. S. G. (2025) · Engineering materials · doi:10.1007/978-3-031-92584-9_5 · Cited by 1
Low-cost semiconductor swept source laser for near-infrared Optical Coherence Tomography
Roy, A., Patra, S. K., & Piwoński, T. (2020) · IEEE Photonics Conference · doi:10.1109/ipc47351.2020.9252550 · Cited by 1
Sejtszintű képalkotás a retina in vivo vizsgálatában: jelen és jövő
Végh, A., Magda, D. P., Kilin, F., Csorba, A., Resch, M., Nagy, Z. Z., & Szabó, A. (2021) · Orvosi Hetilap · doi:10.1556/650.2021.32101 · Cited by 1
Universal photonics tomography
Gaur, P., Grieco, A., Alshamrani, N., Almutairi, D., & Fainman, Y. (2022) · Optics Express · doi:10.1364/oe.454497 · Cited by 1
Low-Cost In Vivo Full-Range Optical Coherence Tomography Using a Voice Coil Motor
Liao, X., He, L. M., Zhao, D., Tian, P., He, Y. L., Deng, Q., Ma, Z., Song, R., & Wu, L. (2022) · Micromachines · doi:10.3390/mi13101626 · Cited by 1
An Assessment of Band Keratopathy Depth With Anterior Segment Optical Coherence TomographyPreprint
Song, H.-J., Rand, G. M., Chuck, R. S. H., & Kwon, J. (2020) · Research Square · doi:10.21203/rs.3.rs-52950/v2 · Cited by 1
Abaxi, S. M. D., Nawaz, M., Shi, P., Hao, W., Abbasi, S. A., & Yuan, W. (2023) · doi:10.36227/techrxiv.22308655.v1 · Cited by 1
Accelerated Blood Vessel Enhancement in Retinal Fundus Image based on Reconfigurable HardwarePreprint
Wang, Y. (2023) · Research Square · doi:10.21203/rs.3.rs-2839197/v1 · Cited by 1
Optical Design Issues in Electrically Pumped Tunable Liquid-Crystal VCSELs
Simaz, A., Tibaldi, A., Boisnard, B., Camps, T., Bertazzi, F., Goano, M., Reig, B., Doucet, J., Bardinal, V., & Debernardi, P. (2020) · International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) · doi:10.1109/nusod49422.2020.9217717
An Assessment of Band Keratopathy Depth With Anterior Segment Optical Coherence TomographyPreprint
Song, H.-J., Rand, G. M., Chuck, R. S. H., & Kwon, J. (2020) · Research Square · doi:10.21203/rs.3.rs-52950/v1
Neurodegeneration and microvascular dysfunction
van der Heide, F. C. T. (2022) · Research Publications (Maastricht University) · doi:10.26481/dis.20220126fh
Abd-Elkhalek, E., Abdelrahman, H. A., Aly, M., & Abdullah, A. (2022) · International Journal of Medical Arts · doi:10.21608/ijma.2022.109812.1409
Sevik, M. O., Çam, F., Aykut, A., Dericioğlu, V., & Şahin, Ö. (2022) · Ophthalmic and Physiological Optics · doi:10.1111/opo.12993
The Impacts of Changes in PCI Strategy under the Guidance of FFR on Patient Prognosis
李, 文. (2022) · Advances in Clinical Medicine · doi:10.12677/acm.2022.124520
Yang, S., Yuan, Y., Chen, Y., Zhang, S., Wang, Y., Shang, X., Bulloch, G., Liao, H., Chen, Y., Zhang, L., et al. (2022) · medRxiv · doi:10.1101/2022.09.26.22280334
Physical Principles of Anterior Segment OCT
Horstmann, J., & Lankenau, E. M. (2022) · Springer eBooks · doi:10.1007/978-3-031-07730-2_2
An axial length measurement system based on the VIPA spectrometer
Li, J., Zhao, S., Yang, Q., Zhou, Z., Liu, F., Li, Z., & Ling, S. (2023) · Laser Physics · doi:10.1088/1555-6611/acb1ab
Physikalische Grundlagen der Vorderabschnitts-OCT
Horstmann, J., & Lankenau, E. M. (2022) · Springer eBooks · doi:10.1007/978-3-662-63273-4_2
Othman, R., Zaky, M., & Mandour, S. S. (2022) · Menoufia Medical Journal · doi:10.4103/mmj.mmj_169_22
Investigating Evoked Action Potential in Human Optic Nerves using MRI
Chow, L. S., Soon, Y. Z., Chu, Y. B., Paley, M. N. J., & Hickman, S. J. (2022) · IEEE-EMBS Conference on Biomedical Engineering and Sciences · doi:10.1109/iecbes54088.2022.10079523
Liangcheng, 段. D., Wenli, 刘. L., Xiaowen, 秦. Q., Tao, 崔. C., Xiuyu, 李. L., Junbang, 赵. Z., Xiang, 马. M., & Zhixiong, 胡. H. (2022) · Infrared and Laser Engineering · doi:10.3788/irla20210789
Pressure tube replica imaging system for PHWR reactors based on optical coherence tomography
Goud, B. K., Shinde, D. D., Kamath, M. P., Kumar, R. S., Raju, S. D. V. S. J., Kumar, K., Sanyal, D. N., Rao, K. D., Sinha, S. K., & Udupa, D. V. (2023) · Annals of Nuclear Energy · doi:10.1016/j.anucene.2023.109837
Reed microstructure detection by optical coherence tomography, an efficient and non-invasive method
Chen, J., Zhu, L., Gu, X., Xu, J., Dong, L., & Qiu, J. (2023) · Applied Optics · doi:10.1364/ao.483991
Evaluation of Subfoveal Choroidal Thikness in Patients with Posterior Uveitis
Elkader, A. E. S. A., Abdelhafeez, S. M. E., & Mohamed, H. G. (2023) · Al-Azhar International Medical Journal /Al-Azhar International Medical Journal · doi:10.58675/2682-339x.1697
Feasibility Study on Thickness Measurement of Coated ZrO2 Using Optical Coherence Tomography
Li, J., Ding, Y., Zhao, T., Lei, C., & Bai, L. (2023) · International Symposium on System Security, Safety, and Reliability (ISSSR) · doi:10.1109/isssr58837.2023.00017
A Review on Skin Disease Classification and Detection Using Deep Learning Techniques
Kavitha, M., & Prasanna, P. L. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i7s.6973
Corneal Imaging Techniques for Dry Eye Disease
Mattes, R., Huertas-Bello, M., & Sabater, A. L. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.111739
Al‐Hawasi, A. (2023) · Linköping University medical dissertations · doi:10.3384/9789180754194
Effectiveness of Cataract Uncomplicated Surgery on Retina Thickness
Badar, A., Masrur, A., Naseem, S., Zafar, R., Malik, S. N., & Khan, T. A. (2023) · Annals of PIMS-Shaheed Zulfiqar Ali Bhutto Medical University · doi:10.48036/apims.v19i3.796
Non-invasive continuous imaging approaches to evaluate tissue structure and development
Huang, Y. (2023) · Theoretical and Natural Science · doi:10.54254/2753-8818/24/20231149
Eidizadeh, M., Felegary, M., Madani, S. H., Hosseini, F., & Bagheri, M. (2023) · Medical Hypothesis Discovery & Innovation in Optometry · doi:10.51329/mehdioptometry187
Quiroz-Reyes, M. A., Shao, Z., & Quiroz-Gonzalez, E. A. (2023) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815196658123010009
Simulation Analysis and Calibration Research Based on SS-OCT System
Qin, H., Zhang, Y., Chen, Y., Zeng, Q., Lin, H., & Sun, D. (2023) · IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) · doi:10.1109/ecice59523.2023.10383106
Aminoto, T. (2024) · ELKOMIKA Jurnal Teknik Energi Elektrik Teknik Telekomunikasi & Teknik Elektronika · doi:10.26760/elkomika.v12i1.23
Chew, L. A., Watson, B. C., & Lad, E. M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13820-1.00022-0
Image segmentation and analysis methods applied to anterior eye optical coherence tomography
Marin, F. Y. G. (2024) · Queensland University of Technology · doi:10.5204/thesis.eprints.246667
Ia, M., Alferova, I. V., Bogomolov, V. V., Voronkov, Y. I., & Anikeev, D. A. (2023) · Human Physiology · doi:10.31857/s0131164622100095
Aideyan, B. (2023) · Digital Repository Service (Northeastern University) · doi:10.17760/d20652988
Liang, Z. (2024) · IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) · doi:10.1109/iccect60629.2024.10545941
Pavithra, M. K., Archana, D., Tamilkumaran, A., Varshini, S. R. K., Sree Sakthi, J., & Suhash, E. (2024) · International Conference on Communication, Computing and Internet of Things (IC3IoT) · doi:10.1109/ic3iot60841.2024.10550429
Imaging of cardiovascular pathology
Hua, X., & Song, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95223-1.00011-4
Algorithms with Physics Inspiration Used in Biomedical Imaging for a Better Future
Joel, M. R., Ebenezer, V., Jabakumar, G. G., Rajakumari, K., & Shanthakumar, P. (2024) · Advanced technologies and societal change · doi:10.1007/978-981-97-3312-5_21
Progress in Visual Dysfunction and Retinopathy in Atypical Parkinson’s Syndrome
杨, 丽. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.1482247
Pawar, Y. B., & Thool, A. R. (2024) · Cureus · doi:10.7759/cureus.67078
Moderne Methoden und Anwendungsgebiete der retinalen Bildgebung
Wauschkuhn, J., Feucht, N., & Aly, L. (2024) · Klinische Neurophysiologie · doi:10.1055/a-2352-0458
Qiu, X., Gammon, S. T., Rasmussen, C. A., Pisaneschi, F., Kim, C. B. Y., Hoeve, J. N. V., Millward, S. W., Barnett, E. M., Nork, T. M., Kaufman, P. L., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0313579
Gendron, R. L., Kwabiah, R. R., Paradis, H., Tucker, D., Boyce, D., & Santander, J. (2024) · Journal of Fish Diseases · doi:10.1111/jfd.14072
Kreager, B. C., Wu, H., Chang, W.-Y., Tian, J., & Jiang, X. (2024) · IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS) · doi:10.1109/uffc-js60046.2024.10794176
Optical Coherence Tomography in Strabismus: Innovations and Clinical Applications
Kayıtmazbatır, E. T. (2025) · IntechOpen eBooks · doi:10.5772/intechopen.1008493
Wang, X., Makita, S., Tateno, N., Komeda, S., Furukawa, A., Matsusaka, S., & Yasuno, Y. (2025) · Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine · doi:10.1117/12.3042510
Memon, H., Panzo, N., Ong, J., Waisberg, E., & Lee, A. G. (2025) · Minerva Ophthalmology · doi:10.23736/s2785-1265.24.01888-3
Multiclass plaque segmentation of coronary artery disease patients using an enhanced model
Chen, T., Wang, X., He, X., Wu, H.-D., Wang, M.-H., & Guo, L. (2025) · Medical Physics (Lancaster) · doi:10.1002/mp.17735
Biomedical Imaging: State of the Art
Ghosh, S., Padmanabhan, P., Kalarikkal, N., Matham, M. V., & Gulyás, B. Z. (2025) · Biological and medical physics, biomedical engineering · doi:10.1007/978-981-96-1124-9_1
Li, J., Xu, J. J., Wang, Z., Zheng, Q., Yan, J., & Tian, Y. (2025) · Applied Sciences · doi:10.3390/app15073619
Segmenting Optical Coherence Tomography (OCT) Scans Using Multi-Scale Modified UNet Architecture
Soni, K., Karthik, K., & Mahadevappa, M. (2024) · IEEE India Conference · doi:10.1109/indicon63790.2024.10958506
Ravishankar, H., Paluru, N., Sudhakar, P., & Yalavarthy, P. K. (2025) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi60581.2025.10980931
Absolute blood flow velocity measurement using microsphere tracking in optical coherence tomography
Yu, H., Ni, M., Shang, D., Ma, T., & Dai, C. (2025) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545825500233
Navy, X., Sheng, Z., Kim, K., & Cormack, J. M. (2025) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2025.05.007
Karthikeyan, M. P., Anita, E. A. M., & Geetha, D. M. (2025) · International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE) · doi:10.1109/rmkmate64874.2025.11042563
Relevance and Impact of AI in the Pharmaceutical Industry—Focus on Clinical Development
Maunz, A., Li, Y. Y., Glittenberg, C. G., & Fauser, S. (2025) · Springer eBooks · doi:10.1007/978-3-031-83756-2_23
Line-field spectral-domain optical coherence tomography for FPC internal structure characterization
Zhang, Y., Shao, T., Shen, H., Shao, Z., Xia, M., Li, W., & Guo, W. (2025) · Measurement · doi:10.1016/j.measurement.2025.118574
Soomro, I. M., Ali, I., Khoso, A. A., Kandhro, P. A. G., Gopang, Z., & Abbasi, S. A. (2025) · Pakistan Journal of Health Sciences · doi:10.54393/pjhs.v6i7.3118
Fundamentals of Optical Coherence Tomography
Roy, M., Khan, R., Pathan, A. Q. M. S. U., & Raman, R. (2025) · Springer eBooks · doi:10.1007/978-3-031-99410-4_3
Weak Coherent Light Interference Heterodyne Detection Based on Time‐Domain Signal Analysis
Shen, H., & Li, Y. C. (2025) · IET Signal Processing · doi:10.1049/sil2/9918739
Wang, X., Cai, M., Mu, R., Liu, C., Han, Y., Xie, Z., Li, D., An, X., Li, J., Niu, C., et al. (2025) · Journal of Biophotonics · doi:10.1002/jbio.202500169
Birgili, B., & Chue, K. L. (2025) · Routledge eBooks · doi:10.4324/9781003534648-22
Masters, B. R. (2025) · Springer series in optical sciences/SPringer series in optical sciences · doi:10.1007/978-3-031-87711-7_6
Metadata
- Authors
- Aumann, S., Donner, S., Fischer, J., & Müller, F.
- Affiliations
- Heidelberg Engineering (Germany) (DE)
- Venue
- High Resolution Imaging in Microscopy and Ophthalmology
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 59-85
- OpenAlex
- W2967073593
- Cited by
- 449
- References
- 46
- Citations by year
- 2026: 41 · 2025: 112 · 2024: 109 · 2023: 71 · 2022: 70 · 2021: 31 · 2020: 15
- FWCI
- 44.32
- Type
- book chapter
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Springer eBooks (publishedVersion, cc-by)
- Funders
- Heidelberg Engineering GmbH
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Optical Coherence Tomography Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Adaptive optics and wavefront sensing
- Keywords
- optical coherence tomography, retinal imaging, near-infrared light, interferometry, axial resolution, penetration depth, confocal scanning laser ophthalmoscope, motion tracking, image segmentation, depth measurement, tissue elasticity imaging, imaging speed
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