Fundus Autofluorescence
All content on Eyewiki is protected by copyright law and the Terms of Service. This content may not be reproduced, copied, or put into any artificial intelligence program, including large language and generative AI models, without permission from the Academy.
Overview
Fundus autofluorescence (FAF) is a noninvasive imaging modality that has become increasingly popular in both research and clinical settings due to its ability to map naturally and pathologically occurring fluorophores in the posterior pole. Fundus autofluorescence imaging originated from early observations during fluorescein angiography, when intrinsic fluorescence of the ocular fundus was initially recognized but often misinterpreted as pseudofluorescence. In 1970, Machemer and colleagues demonstrated that pseudofluorescence resulted from reflected light emitted by fluorescein within intraocular fluids rather than true tissue fluorescence, establishing critical principles for distinguishing optical artifacts from intrinsic retinal signals.[1] Subsequent histologic and biochemical studies identified lipofuscin, a fluorophore derived from photoreceptor outer segment metabolism, as an age-dependent pigment accumulating within retinal pigment epithelium (RPE) cells and capable of emitting autofluorescence. This understanding led to the first quantitative in vivo measurements by Kitagawa and colleagues in 1989, who demonstrated a significant increase in macular autofluorescence with age, providing direct evidence of progressive lipofuscin accumulation in the living human retina.[2]
Further advances were achieved in 1995 when Delori and colleagues characterized the excitation and emission spectra of fundus autofluorescence and confirmed that lipofuscin within the RPE is the dominant fluorophore responsible for this signal.[3] The introduction of confocal scanning laser ophthalmoscopy enabled high-resolution topographic imaging of autofluorescence, allowing precise visualization of lipofuscin distribution and facilitating clinical application. Fundus autofluorescence imaging has since become an essential noninvasive tool for evaluating retinal aging, diagnosing inherited and degenerative retinal diseases, and monitoring disease progression, particularly in conditions involving RPE dysfunction, such as age-related macular degeneration and inherited retinal dystrophies.[4] Together, these developments transformed autofluorescence from an optical observation into a fundamental modality for investigating retinal physiology and pathology.
Unlike fluorescein angiography, FAF does not require the injection of a fluorescein dye in order to image the retina, but rather it utilizes the fluorescent properties of lipofuscin within the retinal pigment epithelium (RPE) to create an image. Lipofuscin, a byproduct of lysosomal breakdown of photoreceptor outer segments, is composed of numerous bisretinoids including A2E, A2PE, isoA2E, and A2-DHP-PE. When subjected to a light source, these bisretinoids absorb blue light with a peak excitation wavelength of 470 nm and emit yellow-green light with a peak wavelength of 600 nm, depending on the chemical makeup of the lipofuscin. A detector is then used to record the emission signals and create an image that acts as a density map of lipofuscin, with brighter areas representing regions of increased lipofuscin density. Since many retinal pathologies often lead to RPE dysfunction and an accumulation of lipofuscin, abnormal patterns of autofluorescence (AF) on FAF imaging can act as markers for retinal disease.
Normal Fundus Autofluorescence
In a normal fundus without retinal pathology, blood vessels will appear dark since blood is able to strongly absorb the blue (~488 nm) or green (~514 nm) light that is typically used in FAF imaging. Depending on the device being used, the optic nerve will usually appear dark due to the absence of RPE or lipofuscin in this region. With blue or green short-wavelength FAF, the fovea will usually be visualized as a spot of hypo-AF, due to the high concentration of light-absorbing xanthophyll pigment in this area.
Abnormal Fundus Autofluorescence
Abnormal fundus autofluorescence is any pattern of AF that deviates from the classic appearance of a normal fundus as previously described.
Abnormal regions of hyper-autofluoresence (AF) are a result of increased levels of lipofuscin/compounds with similar autofluorescent spectra, or increased transmission of fluorescence. Some notable causes of hyper-AF include:
- Increased RPE lipofuscin secondary to RPE dysfunction
- Presence of subretinal autofluorescent material (eg. vitelliform lesions, blood breakdown products, certain types of drusen, subretinal fluid in central serous chorioretinopathy)
- Optic disc drusen
- Loss of macular photopigment and photoreceptor attenuation
Abnormal regions of hypo-autofluorescence (AF) are a result of decreased levels of lipofuscin, decreased RPE density, or blockage of fluorescence. Some notable causes of hypo-AF include:
- Decreased RPE lipofuscin (eg, RPE atrophy or RPE tears)
- Presence of naturally occurring macular pigments
- Acute intraretinal or subretinal hemorrhage
- Fibrosis/scar tissue
- Media opacities (eg, cataract, vitreous hemorrhage, posterior capsular opacification, asteroid hyalosis, vitritis)
Quantitative fundus autofluorescence (QAF) is a promising new developing field that uses blue excitation light to map and quantify lipofuscin and melanolipofuscin fluorescence using a reference bar to standardize measurements. The technique depends on high image quality and thus far, shows immense variability.[5]
Uses
FAF has become a particularly useful non-invasive imaging technique in the diagnosis and management of retinal dystrophies. There is no need of any dye since lipofuscin is found endogenously within the retinal cell. Using FAF alone, a neural network was able to discern eyes with Stargardt disease, Best disease, and retinitis pigmentosa from healthy eyes with an accuracy of 95%.[6] In retinitis pigmentosa, FAF can sometimes demonstrate a hyper-AF ring that constricts over time, acting as a marker of disease progression.[7] Currently, FAF has clinical applications in a variety of retinal diseases, including but not limited to:
- Geographic atrophy, particularly in advanced nonexudative age-related macular degeneration
- Central serous chorioretinopathy
- Retinitis pigmentosa and rod-cone dystrophies
- Stargardt disease
- Choroideremia
- Best disease and vitelliform maculopathies
- Central areolar choroidal dystrophy
- Pattern dystrophies
- Hydrochloroquine retinopathy and other retinal drug toxicities
- Choroidal nevi and melanomas
- White dot syndromes
- Fundus flavimaculatus
The clinical applications of FAF continue to expand as a result of ongoing research. For example, in patients with diabetic retinopathy, FAF has been shown to demonstrate significant alterations that could not be observed on color imaging, suggesting that FAF may be useful in the detection of early changes associated with progression of retinopathy.[8] Furthermore, in patients with exudative age-related macular degeneration, patterns of FAF have been shown to predict anti-vascular endothelial growth factor (VEGF) therapy success.[9] FAF can show a characteristic pattern of granular high-density fluorescence with low-density fluorescence spots in females who may be carriers of choroideremia, an X-linked degenerative retinal disorder. Ultimately, this promising research suggests that the clinical utility of FAF imaging will continue to broaden into the future.
Limitations
Unlike fluorescein angiography, FAF imaging does not require administration of intravenous fluorescein dye and therefore avoids possible complications such as pain, redness, nausea, vomiting, or pruritis. However, FAF does have several limitations. For instance, FAF has a signal strength that is approximately 2 orders of magnitude less than the signal seen in fluorescein angiography.[10] In addition, FAF imaging is susceptible to artifact from media opacities in the anterior segment or vitreous, making the interpretation of images in some patients difficult. Furthermore, given the variability in external lighting conditions, device settings, and type of device used to capture FAF images, comparing imaging findings between patients or in a single patient over time can be challenging. While quantitative fundus autofluorescence imaging devices have been used in research applications to help address this issue, this technology has yet to be widely implemented in the clinical setting.
Fundus AF imaging uses short-wavelength excitation light in the blue range and thus limits the clear visualization of the central retina due to absorption of blue light by macular pigment, which leads to limited visualization of the central retina due to absorption of the blue excitation light by macular pigment. Autofluorescence using red light excitation is an upcoming novel modality to improve visualization of fovea and parafoveal area, since red light is not absorbed by macular pigment.[11] Red-AF images shows improved quality images with greater patient comfort, with limited effect of cataract on image quality, and with safer technology, since most of the ocular tissue, including the lens, does not absorb >600 nm wavelengths; the red-AF SLO uses 642 nm and 705 nm excitation wavelengths.
Additional Resources
Pole C, Ameri H. Fundus Autofluorescence and Clinical Applications. J Ophthalmic Vis Res. 2021 Jul 29;16(3):432-461. doi: 10.18502/jovr.v16i3.9439. PMID: 34394872; PMCID: PMC8358768.
References
- ↑ Machemer R, Norton EW, Gass JD, Choromokos E. Pseudofluorescence--a problem in interpretation of fluorescein angiograms. Am J Ophthalmol. 1970 Jul;70(1):1-10. doi: 10.1016/0002-9394(70)90658-6. PMID: 4987088.
- ↑ Kitagawa K, Nishida S, Ogura Y. In vivo quantitation of autofluorescence in human retinal pigment epithelium. Ophthalmologica. 1989;199(2-3):116-21. doi: 10.1159/000310027. PMID: 2587019.
- ↑ Delori FC, Dorey CK, Staurenghi G, Arend O, Goger DG, Weiter JJ. In vivo fluorescence of the ocular fundus exhibits retinal pigment epithelium lipofuscin characteristics. Invest Ophthalmol Vis Sci. 1995 Mar;36(3):718-29. PMID: 7890502.
- ↑ Schmitz-Valckenberg S, Holz FG, Bird AC, Spaide RF. Fundus autofluorescence imaging: review and perspectives. Retina. 2008 Mar;28(3):385-409. doi: 10.1097/IAE.0b013e318164a907. PMID: 18327131.
- ↑ von der Emde L, Reiter GS, Mallwitz M, Jauch AS, Wall K, Holz FG, Pollreisz A, Ach T. Quantitative fundus autofluorescence in age-related macular degeneration. Surv Ophthalmol. 2026 Mar 31:S0039-6257(26)00051-2. doi: 10.1016/j.survophthal.2026.03.018. Epub ahead of print. PMID: 41933659.
- ↑ Miere A, Le Meur T, Bitton K, Pallone C, Semoun O, Capuano V, Colantuono D, Taibouni K, Chenoune Y, Astroz P, Berlemont S, Petit E, Souied E. Deep Learning-Based Classification of Inherited Retinal Diseases Using Fundus Autofluorescence. J Clin Med. 2020 Oct 14;9(10):3303. doi: 10.3390/jcm9103303. PMID: 33066661; PMCID: PMC7602508.
- ↑ Lima LH, Burke T, Greenstein VC, Chou CL, Cella W, Yannuzzi LA, Tsang SH. Progressive constriction of the hyperautofluorescent ring in retinitis pigmentosa. Am J Ophthalmol. 2012 Apr;153(4):718-27, 727.e1-2. doi: 10.1016/j.ajo.2011.08.043. Epub 2011 Dec 3. PMID: 22137208; PMCID: PMC3830946.
- ↑ Calvo-Maroto AM, Esteve-Taboada JJ, Pérez-Cambrodí RJ, Madrid-Costa D, Cerviño A. Pilot Study on Visual Function and Fundus Autofluorescence Assessment in Diabetic Patients. J Ophthalmol. 2016;2016:1287847. doi: 10.1155/2016/1287847. Epub 2016 Feb 10. PMID: 26977312; PMCID: PMC4764742.
- ↑ Heimes B, Lommatzsch A, Zeimer M, Gutfleisch M, Spital G, Bird AC, Pauleikhoff D. Foveal RPE autofluorescence as a prognostic factor for anti-VEGF therapy in exudative AMD. Graefes Arch Clin Exp Ophthalmol. 2008 Sep;246(9):1229-34. doi: 10.1007/s00417-008-0854-z. Epub 2008 May 29. PMID: 18509668.
- ↑ Schmitz-Valckenberg S, Holz FG, Bird AC, Spaide RF. Fundus autofluorescence imaging: review and perspectives. Retina. 2008 Mar;28(3):385-409. doi: 10.1097/IAE.0b013e318164a907. PMID: 18327131.
- ↑ Birtel J, Bauer T, Pauleikhoff L, Rüber T, Gliem M, Charbel Issa P. Fundus autofluorescence imaging using red excitation light. Sci Rep. 2023 Jun 19;13(1):9916. doi: 10.1038/s41598-023-36217-x. PMID: 37336979; PMCID: PMC10279676.

