Donald T. Miller
Engineering · Indiana University
Publications
196
Citations
7,772
Est. group size
—
Recurring co-author estimate
Active years
51
Publishing since 1975
Donald T. Miller develops advanced optical imaging systems for looking inside the living human eye at very high resolution. His work centers on adaptive optics combined with optical coherence tomography (AO-OCT), techniques that correct optical distortions to image individual retinal cells such as photoreceptors and ganglion cells. He applies these tools, often paired with machine learning, to study how these cells change in eye diseases like glaucoma and retinitis pigmentosa.
Publication activity was steady to high through 2021 and has been somewhat lower in recent years, averaging about 2.8 papers per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Current awards run through April 2027 — about under a year of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.
Imaging Structure and Function of Photoreceptors
2 earlier awards
- NIH R01EY029808Apr 2019 – Mar 2024 · $392k awarded
Imaging spatial and temporal dynamics of retinal ganglion cells
- NIH T35EY013937Sep 2001 – Apr 2022 · $19k awarded
Short-Term Research Training For Optometry Students
Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.
Typically publishes in teams of ~5 · 7% small-team papers (≤3 authors) · across 13 venues
- Integrated fixation and stimulus channel for adaptive optics ophthalmoscopy
Biomedical Optics Express · 2025
- Imaging photoreceptor somas and their loss in disease in the living human eye
2025
- Structural analysis of cone photoreceptors in AO-OCT enables S-cone identification by a support vector machine classifier
Biomedical Optics Express · 2025
- Ultrafast adaptive optics for imaging the living human eye
Nature Communications · 2024
- Method for assessing structure and function of cone photoreceptors with multiple outer segment reflections in healthy and diseased eyes
2024
- Identifying retinal pigment epithelium cells in adaptive optics-optical coherence tomography images with partial annotations and superhuman accuracy
Biomedical Optics Express · 2024
- Photopigment density variation of individual cone photoreceptors revealed by phase-sensitive AO-OCT (Erratum)
2024
- An integrated fixation and stimulus channel for adaptive optics ophthalmoscopy with a large working distance, steering field, dioptric range, and light efficiency
2024
- Characterizing Presumed Displaced Retinal Ganglion Cells in the Living Human Retina of Healthy and Glaucomatous Eyes
Investigative Ophthalmology & Visual Science · 2024
- S-cone identification using AO-OCT cone structural measurements and support vector machine classifier
2023
- Photopigment density variation of individual cone photoreceptors revealed by phase-sensitive AO-OCT
2023
- Low-latency, photon-efficient wavefront sensing for ultrafast adaptive optics imaging of the human retina
2023
- Evolution of adaptive optics retinal imaging [Invited]
Biomedical Optics Express · 2023
- Deep learning-enabled volumetric cone photoreceptor segmentation in adaptive optics optical coherence tomography images of normal and diseased eyes
Biomedical Optics Express · 2023
- Adaptive optics for high-resolution imaging
Nature Reviews Methods Primers · 2021
- Investigative Ophthalmology & Visual Science×11
- Biomedical Optics Express×9
- Proceedings of the National Academy of Sciences×3
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE×3
- Journal of Biomedical Optics×2
- Kazuhiro Kurokawa
Engineering · Indiana University
- Soohyun Lee
Engineering · The Ohio State University
- Stacey S. Choi
Engineering · The Ohio State University
- Qiuzhi Ji
Engineering · Indiana University
- Marcel T. Bernucci
Engineering · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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