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      Real-time OCT feedback-controlled RPE photodisruption in ex vivo porcine eyes using 8 microsecond laser pulses

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          Abstract

          Selective retinal pigment epithelium (RPE) photodisruption requires reliable real-time feedback dosimetry (RFD) to prevent unwanted overexposure. In this study, optical coherence tomography (OCT) based RFD was investigated in ex vivo porcine eyes exposed to laser pulses of 8 µs duration (wavelength: 532 nm, exposure area: 90 × 90 µm 2, radiant exposure: 247 to 1975 mJ/µm 2). For RFD, fringe washouts in time-resolved OCT M-scans (central wavelength: 870 nm, scan rate: 85 kHz) were compared to an RPE cell viability assay. Statistical analysis revealed a moderate correlation between RPE lesion size and applied treatment energy, suggesting RFD adaptation to inter- and intraindividual RPE pigmentation and ocular transmission.

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          Fiji: an open-source platform for biological-image analysis.

          Johannes Schindelin, Ignacio Arganda-Carreras, Erwin Frise … (2019)
          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Optical coherence tomography

            D M Huang, E. Swanson, C. Lin … (1991)
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              Is Open Access

              Repeated Measures Correlation

              Jonathan Bakdash, Laura R Marusich (2017)
              Repeated measures correlation (rmcorr) is a statistical technique for determining the common within-individual association for paired measures assessed on two or more occasions for multiple individuals. Simple regression/correlation is often applied to non-independent observations or aggregated data; this may produce biased, specious results due to violation of independence and/or differing patterns between-participants versus within-participants. Unlike simple regression/correlation, rmcorr does not violate the assumption of independence of observations. Also, rmcorr tends to have much greater statistical power because neither averaging nor aggregation is necessary for an intra-individual research question. Rmcorr estimates the common regression slope, the association shared among individuals. To make rmcorr accessible, we provide background information for its assumptions and equations, visualization, power, and tradeoffs with rmcorr compared to multilevel modeling. We introduce the R package (rmcorr) and demonstrate its use for inferential statistics and visualization with two example datasets. The examples are used to illustrate research questions at different levels of analysis, intra-individual, and inter-individual. Rmcorr is well-suited for research questions regarding the common linear association in paired repeated measures data. All results are fully reproducible.
              Article 0 comments Cited 432 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Biomed Opt Express
                Journal ID (iso-abbrev): Biomed Opt Express
                Journal ID (publisher-id): BOE
                Title: Biomedical Optics Express
                Publisher: Optica Publishing Group
                ISSN (Electronic): 2156-7085
                Publication date (Electronic): 20 November 2023
                Publication date Collection: 01 December 2023
                Volume: 14
                Issue: 12
                Pages: 6328-6349
                Affiliations
                [1 ]optoLab, Institute for Human Centered Engineering, Bern University of Applied Sciences , Biel, Switzerland
                [2 ]Biomedical Photonics Group, Institute of Applied Physics, University of Bern , Bern, Switzerland
                [3 ]Institute for Optimisation and Data Analysis, Bern University of Applied Sciences , Burgdorf, Switzerland
                Author notes
                Author information
                https://orcid.org/0000-0003-2690-7527
                https://orcid.org/0000-0001-5453-8808
                https://orcid.org/0000-0002-6741-9434
                Article
                Publisher ID: 503941
                DOI: 10.1364/BOE.503941
                PMC ID: 10898567
                PubMed ID: 38420306
                SO-VID: fb2af865-b418-481a-9e7a-844e8dc1db1f
                Copyright © © 2023 Optica Publishing Group
                License:

                https://doi.org/10.1364/OA_License_v2#VOR-OA

                © 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

                History
                Date received : 22 August 2023
                Date revision received : 24 October 2023
                Date accepted : 12 November 2023
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                ScienceOpen disciplines: Vision sciences
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                ScienceOpen disciplines: Vision sciences

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