Academic Journal
Digital measurement of pupil size, corneal size, and eccentricity in Guinea pigs using python compared with traditional OCT.
| Τίτλος: | Digital measurement of pupil size, corneal size, and eccentricity in Guinea pigs using python compared with traditional OCT. |
|---|---|
| Συγγραφείς: | Wu H; School of Medicine, Department of Ophthalmology, Shanghai Children' s Hospital, Shanghai Jiao Tong University city, Shanghai, 200062, China., Qiao Z; School of Medicine, Department of Ophthalmology, Shanghai Children' s Hospital, Shanghai Jiao Tong University city, Shanghai, 200062, China., Cheng C; School of Medicine, Department of Ophthalmology, Shanghai Children' s Hospital, Shanghai Jiao Tong University city, Shanghai, 200062, China., Luo W; School of Medicine, Department of Ophthalmology, Shanghai Children' s Hospital, Shanghai Jiao Tong University city, Shanghai, 200062, China., Wan T; Department of Ophthalmology, Jinshan Hospital, Fudan University, Shanghai, 201508, China., Lu N; Department of Radiology, Huashan Hospital Fudan University, Shanghai, 200040, China. drluna@126.com., Qiao T; School of Medicine, Department of Ophthalmology, Shanghai Children' s Hospital, Shanghai Jiao Tong University city, Shanghai, 200062, China. qiaojoel@126.com., Di Y; School of Medicine, Department of Ophthalmology, Shanghai Children' s Hospital, Shanghai Jiao Tong University city, Shanghai, 200062, China. diyue_research@126.com. |
| Πηγή: | Scientific reports [Sci Rep] 2025 Aug 17; Vol. 15 (1), pp. 30049. Date of Electronic Publication: 2025 Aug 17. |
| Τύπος έκδοσης: | Journal Article; Comparative Study |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : Nature Publishing Group, copyright 2011- |
| Ιατρικοί όροι (MeSH): | Tomography, Optical Coherence*/methods , Cornea*/anatomy & histology , Cornea*/diagnostic imaging , Pupil*/physiology , Image Processing, Computer-Assisted* , Image Interpretation, Computer-Assisted*, Ophthalmology/methods ; Guinea Pigs ; Computer Graphics ; Programming Languages ; Software ; Male ; Female ; Animals |
| Περίληψη: | To develop a Python-based digital technique for accurate measurement of pupil size, corneal size, and eccentricity in guinea pigs, and to validate its efficiency and accuracy against traditional OCT methods in ophthalmology research. Methods: Fourteen healthy guinea pigs were selected, and the eye images were captured using a camera, and the image analysis program was written by Python 3.9. The program integrated edge detection (Canny algorithm), curve fitting (conic curve equation) and pixel-actual distance conversion modules, and designed a graphical user interface (GUI) to visualize the operation. Measured parameters included pupil size, corneal size and eccentricity to compare the difference between in vivo and ex vivo measurements and to verify the accuracy of the method. Results: The Python program clearly identified the guinea pig pupil and corneal limbus, and the fitted curves were in high agreement with the actual contours. Pupil and corneal size measured with an accuracy of 0.01 mm. In vivo and in vitro measurements showed that pupil size increased significantly after ex vivo (p < 0.001), whereas there was no significant difference in eccentricity (p = 0.38). Compared to optical coherence tomography (OCT), the method did not differ significantly in accuracy (p > 0.05), but significantly improved efficiency and reduced reliance on specialized equipment. Conclusion: The Python-based digital measurement technique can effectively and accurately quantify the morphological parameters of the guinea pig eye, providing reliable technical support for non-contact measurements in experimental animals. (© 2025. The Author(s).) |
| Competing Interests: | Declarations. Competing interests: The authors declare no competing interests. |
| References: | Invest Ophthalmol Vis Sci. 2020 Aug 3;61(10):39. (PMID: 32821915) Diagnostics (Basel). 2022 Jan 28;12(2):. (PMID: 35204427) J Fr Ophtalmol. 2024 Sep;47(7):104242. (PMID: 39013268) Photodiagnosis Photodyn Ther. 2024 Feb;45:103876. (PMID: 37923283) Adv Ophthalmol Pract Res. 2024 Jun 05;4(4):173-181. (PMID: 39263386) Cont Lens Anterior Eye. 2022 Aug;45(4):101540. (PMID: 34799247) Sci Rep. 2019 Oct 30;9(1):15622. (PMID: 31666583) Dev Biol. 2021 Apr;472:75-84. (PMID: 33484707) Invest Ophthalmol Vis Sci. 2009 Mar;50(3):1013-9. (PMID: 19029033) Biomed Opt Express. 2017 Mar 15;8(4):2173-2184. (PMID: 28736663) Diagnostics (Basel). 2022 Jun 08;12(6):. (PMID: 35741230) PLoS One. 2019 Jan 25;14(1):e0210505. (PMID: 30682050) Exp Eye Res. 2019 Mar;180:250-259. (PMID: 30593786) Toxicol Pathol. 2021 Dec;49(8):1368-1373. (PMID: 34569375) Photodiagnosis Photodyn Ther. 2023 Jun;42:103334. (PMID: 36764640) Int J Ophthalmol. 2024 Feb 18;17(2):239-246. (PMID: 38371268) J Optom. 2019 Apr - Jun;12(2):71-73. (PMID: 29627299) Cureus. 2024 Jan 2;16(1):e51503. (PMID: 38304648) Comput Math Methods Med. 2020 Dec 18;2020:6689023. (PMID: 33381221) J Cataract Refract Surg. 2021 Jun 1;47(6):802-814. (PMID: 33315731) Comput Math Methods Med. 2013;2013:572530. (PMID: 23935701) J Fr Ophtalmol. 2016 Dec;39(10):859-865. (PMID: 27793471) PLoS One. 2023 Mar 9;18(3):e0282616. (PMID: 36893083) Invest Ophthalmol Vis Sci. 2019 Feb 28;60(3):M31-M88. (PMID: 30817827) Sci Data. 2024 Jun 13;11(1):627. (PMID: 38871784) |
| Contributed Indexing: | Keywords: Cornea size; Guinea pig; Pupil size; Python |
| Entry Date(s): | Date Created: 20250817 Date Completed: 20260228 Latest Revision: 20260228 |
| Update Code: | 20260301 |
| PubMed Central ID: | PMC12358525 |
| DOI: | 10.1038/s41598-025-13096-y |
| PMID: | 40820085 |
| Βάση Δεδομένων: | MEDLINE |
καταχωρήστε σχόλιο πρώτοι!