| Reference |
Sentence |
Publish Date |
Extraction Date |
Species |
| Vimal Prabhu Pandiyan, Sierra Schleufer, Emily Slezak, James Fong, Rishi Upadhyay, Austin Roorda, Ren Ng, Ramkumar Sabesa. Characterizing cone spectral classification by optoretinography. Biomedical optics express vol 13 issue 12 2023 36589563 |
here, we characterize cone classification by org, implemented in an ao line-scan optical coherence tomography (oct), and compare it against densitometry. |
2023-01-02 |
2023-01-05 |
Not clear |
| Vimal Prabhu Pandiyan, Sierra Schleufer, Emily Slezak, James Fong, Rishi Upadhyay, Austin Roorda, Ren Ng, Ramkumar Sabesa. Characterizing cone spectral classification by optoretinography. Biomedical optics express vol 13 issue 12 2023 36589563 |
overall, org benefits from higher sensitivity and dynamic range to probe cone photopigments compared to densitometry, and thus provides greater fidelity for cone spectral classification. |
2023-01-02 |
2023-01-05 |
Not clear |
| Vimal Prabhu Pandiyan, Sierra Schleufer, Emily Slezak, James Fong, Rishi Upadhyay, Austin Roorda, Ren Ng, Ramkumar Sabesa. Characterizing cone spectral classification by optoretinography. Biomedical optics express vol 13 issue 12 2023 36589563 |
with adaptive optics (ao), both densitometry and org have been used for cone spectral classification based on the differential bleaching signatures of the three cone types. |
2023-01-02 |
2023-01-05 |
Not clear |
| Vimal Prabhu Pandiyan, Sierra Schleufer, Emily Slezak, James Fong, Rishi Upadhyay, Austin Roorda, Ren Ng, Ramkumar Sabesa. Characterizing cone spectral classification by optoretinography. Biomedical optics express vol 13 issue 12 2023 36589563 |
the cone mosaics of five color normal subjects were classified using org showing high probability (\xe2\x88\xbc0.99), low error (<0.22%), high test-retest reliability (\xe2\x88\xbc97%), and short imaging durations (< 1 hour). |
2023-01-02 |
2023-01-05 |
Not clear |