Emerging imaging developments in experimental vision sciences and ophthalmology

Artal P. Optics of the eye and its impact in vision: a tutorial. Adv Opt Photon 2014; 6:340–67

Masland RH. Processing and encoding of visual information in the retina. Curr Opin Neurobiol 1996; 6:467–74

Cheung CY Ikram MK Chen C Wong TY. Imaging retina to study dementia and stroke. Progr Retinal Eye Res 2017; 57:89–107

Coakes RL. Slit-lamp fluorophotometry of the anterior segment. Trans Ophthalmol Soc U K 1981; 101:149–51

Kercheval DB Terry JE. Essentials of slit lamp biomicroscopy. J Am Optom Assoc 1977; 48:1383–9

Schneider HL. Measuring the depth of the anterior chamber with the slit lamp. Klin Monbl Augenheilkd Augenarztl Fortbild 1951; 119:192–3

Orr HC. Fundus photography in colour. Proc R Soc Med 1948; 41:721

Rosen E. Fluroescein fundus photography. Manch Med Gaz 1968; 47:22–40

Delori FC Gragoudas ES Francisco R Pruett RC. Monochromatic ophthalmoscopy and fundus photography. The normal fundus. Arch Ophthalmol 1977; 95:861–8

Zimmer C Kahn D Clayton R Dugel P Freund K. Innovation in diagnostic retinal imaging: multispectral imaging. Retina Today 2014; 9:94–9

Everdell NL Styles IB Calcagni A Gibson J Hebden J Claridge E. Multispectral imaging of the ocular fundus using light emitting diode illumination. Rev Sci Instrum 2010; 81:093706

Toslak D Son T Erol MK Kim H Kim TH Chan RVP Yao X. Portable ultra-widefield fundus camera for multispectral imaging of the retina and choroid. Biomed Opt Express 2020; 11:6281–92

Webb RH Hughes GW. Scanning laser ophthalmoscope. IEEE Trans Biomed Eng 1981; 28:488–92

Terasaki H Sonoda S Tomita M Sakamoto T. Recent advances and clinical application of color scanning laser ophthalmoscope. J Clin Med 2021; 10: 718

Roorda A Romero-Borja F Donnelly W III Queener H Hebert T Campbell M. Adaptive optics scanning laser ophthalmoscopy. Opt Express 2002; 10:405–12

Merino D Loza-Alvarez P. Adaptive optics scanning laser ophthalmoscope imaging: technology update. Clin Ophthalmol 2016; 10:743–55

Liang J Williams DR Miller DT. Supernormal vision and high-resolution retinal imaging through adaptive optics. J Opt Soc Am A Opt Image Sci Vis 1997; 14:2884–92

Yao X Lu R Wang B Lu Y Kim TH. Super-resolution ophthalmoscopy: virtually structured detection for resolution improvement in retinal imaging. Exp Biol Med (Maywood) 2021; 246:249–59

Lu Y Son T Kim TH Le D Yao X. Virtually structured detection enables super-resolution ophthalmoscopy of rod and cone photoreceptors in human retina. Quant Imaging Med Surg 2021; 11:1060–9

DuBose TB LaRocca F Farsiu S Izatt JA. Super-resolution retinal imaging using optically reassigned scanning laser ophthalmoscopy. Nat Photonics 2019; 13:257–62

Huang D Swanson EA Lin CP Schuman JS Stinson WG Chang W Hee MR Flotte T Gregory K Puliafito CA. Optical coherence tomography. Science 1991; 254:1178–81

Minakaran N de Carvalho ER Petzold A Wong SH. Optical coherence tomography (OCT) in neuro-ophthalmology. Eye (Lond) 2021; 35:17–32

Zhao H Wang G Lin R Gong X Song L Li T Wang W Zhang K Qian X Zhang H Li L Liu Z Liu C. Three-dimensional hessian matrix-based quantitative vascular imaging of rat iris with optical-resolution photoacoustic microscopy in vivo. J Biomed Opt 2018; 23:1–11

Zhang X Zhang HF Puliafito CA Jiao S. Simultaneous in vivo imaging of melanin and lipofuscin in the retina with photoacoustic ophthalmoscopy and autofluorescence imaging. J Biomed Opt 2011; 16:080504

Liu X Liu T Wen R Li Y Puliafito CA Zhang HF Jiao S. Optical coherence photoacoustic microscopy for in vivo multimodal retinal imaging. Opt Lett 2015; 40:1370–3

Liebmann JM Ritch R. Ultrasound biomicroscopy of the anterior segment. J Am Optom Assoc 1996; 67:469–79

Pavlin CJ Harasiewicz K Sherar MD Foster FS. Clinical use of ultrasound biomicroscopy. Ophthalmology 1991; 98:287–95

Arzabe CW Akiba J Jalkh AE Quiroz MA Trempe CL McMeel JW Celorio JM. Comparative study of vitreoretinal relationships using biomicroscopy and ultrasound. Graefe's Arch Clin Exp Ophthalmol 1991; 229:66–8

Gentile RC Berinstein DM Liebmann J Rosen R Stegman Z Tello C Walsh JB Ritch R. High-resolution ultrasound biomicroscopy of the pars plana and peripheral retina. Ophthalmology 1998; 105:478–84

Vasquez LM Giuliari GP Halliday W Pavlin CJ Gallie BL Heon E. Ultrasound biomicroscopy in the management of retinoblastoma. Eye (Lond) 2011; 25:141–7

Chen CL Wang RK. Optical coherence tomography based angiography [invited]. Biomed Opt Express 2017; 8:1056–82

Gao SS Jia Y Zhang M Su JP Liu G Hwang TS Bailey ST Huang D. Optical coherence tomography angiography. Invest Ophthalmol Vis Sci 2016; 57:OCT27–36

Yao X Son T Kim TH Lu Y. Functional optical coherence tomography of retinal photoreceptors. Exp Biol Med (Maywood) 2018; 243:1256–64

Ma G Son T Kim TH Yao X. In vivo optoretinography of phototransduction activation and energy metabolism in retinal photoreceptors. J Biophotonics 2021;14:e202000462

Ma G Son T Kim T-H Yao X. Functional optoretinography: concurrent OCT monitoring of intrinsic signal amplitude and phase dynamics in human photoreceptors. Biomed Opt Exp 2021; 12:2661–9

Cooper RF Brainard DH Morgan JIW. Optoretinography of individual human cone photoreceptors. Opt Express 2020; 28:39326–39

Azimipour M Valente D Vienola KV Werner JS Zawadzki RJ Jonnal RS. Optoretinogram: optical measurement of human cone and rod photoreceptor responses to light. Opt Lett 2020; 45:4658–61

Liu T Wen R Lam BL Puliafito CA Jiao S. Depth-resolved rhodopsin molecular contrast imaging for functional assessment of photoreceptors. Sci Rep 2015; 5:13992

Wang S Larin KV. Shear wave imaging optical coherence tomography (SWI-OCT) for ocular tissue biomechanics. Opt Lett 2014; 39:41–4

Pitre JJ Jr Kirby MA Li DS Shen TT Wang RK O'Donnell M Pelivanov I. Nearly-incompressible transverse isotropy (NITI) of cornea elasticity: model and experiments with acoustic micro-tapping OCE. Sci Rep 2020; 10:12983

Zhao L Lin H Hu Y Chen X Chen S Zhang X. Corneal lamb wave imaging for quantitative assessment of collagen cross-linking treatment based on comb-push ultrasound shear elastography. Ultrasonics 2021; 116:106478

Pavlatos E Chen H Clayson K Pan X Liu J. Imaging corneal biomechanical responses to ocular pulse using High-Frequency ultrasound. IEEE Trans Med Imaging 2018; 37:663–70

Du J Zou B Chen C Xu Z Liu Q. Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion. Comput Methods Programs Biomed 2020; 196:105687

Alam M Le D Lim JI Yao X. Vascular complexity analysis in optical coherence tomography angiography of diabetic retinopathy. Retina 2021; 41:538–45

Yao X Alam MN Le D Toslak D. Quantitative optical coherence tomography angiography: a review. Exp Biol Med (Maywood) 2020; 245:301–12

Hwang TS Hagag AM Wang J Zhang M Smith A Wilson DJ Huang D Jia Y. Automated quantification of nonperfusion areas in 3 vascular plexuses with optical coherence tomography angiography in eyes of patients with diabetes. JAMA Ophthalmol 2018; 136:929–36

Wang Z Camino A Hagag AM Wang J Weleber RG Yang P Pennesi ME Huang D Li D Jia Y. Automated detection of preserved photoreceptor on optical coherence tomography in choroideremia based on machine learning. J Biophotonics 2018; 11:e201700313

Le D Alam M Yao CK Lim JI Hsieh YT Chan RVP Toslak D Yao X. Transfer learning for automated OCTA detection of diabetic retinopathy. Transl Vis Sci Technol 2020; 9:35

Shin J Kim S Kim J Park K. Visual field inference from optical coherence tomography using deep learning algorithms: a comparison between devices. Trans Vis Sci Tech 2021; 10:4

Hormel TT Hwang TS Bailey ST Wilson DJ Huang D Jia Y. Artificial intelligence in OCT angiography. Prog Retin Eye Res 2021;100965. DOI: 10.1016/j.preteyeres.2021.100965

Yao X Son T Kim TH Le D. Interpretation of anatomic correlates of outer retinal bands in optical coherence tomography. Exp Biol Med (Maywood) 2021;15353702211022674. DOI: 10.1177/15353702211022674

Berkowitz BA Qian H. OCT imaging of rod mitochondrial respiration in vivo. Exp Biol Med (Maywood) 2021;15353702211013799. DOI: 10.1177/15353702211013799

Romond K Alam M Kravets S Sisternes LD Leng T Lim JI Rubin D Hallak JA. Imaging and artificial intelligence for progression of age-related macular degeneration. Exp Biol Med (Maywood) 2021;

Le D Son T Yao X. Machine learning in optical coherence tomography angiography. Exp Biol Med (Maywood) 2021;15353702211026581. DOI: 10.1177/15353702211026581

Kwok S Hazen N Clayson K Pan X Liu J. Regional variation of corneal stromal deformation measured by high-frequency ultrasound elastography. Exp Biol Med (Maywood) 2021. DOI: 10.1177/15353702211029283

Gaffney M Cooper RF Cava JA Follett HM Salmon AE Freling S Yu CT Merriman DK Carroll J. Cone photoreceptor reflectance variation in the Northern tree shrew and thirteen-lined ground squirrel. Exp Biol Med (Maywood) 2021. DOI: 10.1177/15353702211029582

Ansari D Borkar PP Davis PL Collison FT Wynne N Zangler N Fishman GA Carroll J Yao X Grassi MA. Pathognomonic macular ripples are revealed by polarized infrared retinal imaging. Exp Biol Med (Maywood) 2021;15353702211021089. DOI: 10.1177/15353702211021089

Dadkhah A Paudel D Jiao S. Comparative study of optical coherence tomography angiography algorithms for rodent retinal imaging. Exp Biol Med (Maywood) 2021;15353702211024572. DOI: 10.1177/15353702211024572

Tan O Chen A Li Y Bailey S Hwang TS Lauer AK Chiang MF Huang D. Prospective evaluation of OCT for disease detection in the Casey mobile eye clinic. Exp Biol Med (Maywood) 2021;

Zhou H Bacci T Freund KB Wang RK. Three-dimensional segmentation and depth-encoded visualization of choroidal vasculature using swept-source optical coherence tomography. Exp Biol Med (Maywood) 2021;15353702211028540. DOI: 10.1177/15353702211028540

Liu K, Guo Y, You Q, Hormel T, Hwang TS, Jia Y. Normative perfusion measurements in the temporal retina assessed by wide-field OCT angiography. Exp Biol Med (Maywood) 2021;

Wang G, Li M, Yun Z, Duan Z, Ma K, Luo Z, Xiao P, Yuan J. A novel multiple subdivision-based algorithm for quantitative assessment of retinal vascular tortuosity. Exp Biol Med (Maywood) 2021. DOI: 10.1177/15353702211032898