FAIR Data and Reusable Methods

We embrace the Open Science movement and therefore aim to make as much of our data and method freely available. However, as most of our data contain potentially identifying information, they cannot be made publicly available. These data can, however, be shared with scientists after signing of a data transfer agreement to ensure the subject’s privacy. Please contact our data access committee for more information.

Reuse our methods

    	<li><div>
<b>A Novel MRI-Based Approach to Peripheral Refraction and Prediction of Myopia Progression.</b>
<br>
<small><em>American Journal of Ophthalmology</em>
	(2025),&#32;<a href="https://doi.org/10.1016/j.ajo.2025.06.013" target="_blank" style="white-space: nowrap;">doi: 10.1016/j.ajo.2025.06.013&nbsp;
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    Open methods: The methods to perform peripheral ray-tracing simulations have been made available through the ZOSpy repository.

	<li><div>
<b>Patient‐specific mapping of fundus photographs to three‐dimensional ocular imaging.</b>
<br>
<small><em>Medical Physics</em>
	(2025),&#32;<a href="https://doi.org/10.1002/mp.17576" target="_blank" style="white-space: nowrap;">doi: 10.1002/mp.17576&nbsp;
			<svg style="height: 1em; display: inline-block; vertical-align: middle; padding-bottom:0.3em;" xmlns="http://www.w3.org/2000/svg" viewBox="0 50 400 340"><path fill="currentColor" d="M128.233 64c-56.46 0-102.67 46.212-102.67 102.672v14.023H66.68v-14.023c0-34.239 27.315-61.554 61.553-61.554s61.553 27.315 61.553 61.554v56.252c-18.113-10.823-39.251-17.06-61.786-17.06c-66.62 0-121.068 54.448-121.068 121.068S61.38 448 128 448s121.068-54.447 121.068-121.068c0-23.29-6.661-45.088-18.164-63.596v-96.664c0-56.46-46.21-102.672-102.67-102.672zM128 246.982c44.398 0 79.95 35.552 79.95 79.95c0 44.399-35.552 79.95-79.95 79.95s-79.95-35.551-79.95-79.95c0-44.398 35.552-79.95 79.95-79.95zm.395 46.393c-18.735 0-33.922 15.187-33.922 33.922s15.187 33.922 33.922 33.922c18.734 0 33.922-15.187 33.922-33.922s-15.188-33.922-33.922-33.922z" color="currentColor"></path></svg></a>


Open methods: The full methodology to map fundus images to ocular MR-images has been made available through the ZOSpy repository.

	<li><div>
<b>Correction Method for Optical Scaling of Fundoscopy Images: Development, Validation, and First Implementation.</b>
<br>
<small><em>Investigative Opthalmology &amp; Visual Science</em>
	(2024),&#32;<a href="https://doi.org/10.1167/iovs.65.1.43" target="_blank" style="white-space: nowrap;">doi: 10.1167/iovs.65.1.43&nbsp;
			<svg style="height: 1em; display: inline-block; vertical-align: middle; padding-bottom:0.3em;" xmlns="http://www.w3.org/2000/svg" viewBox="0 50 400 340"><path fill="currentColor" d="M128.233 64c-56.46 0-102.67 46.212-102.67 102.672v14.023H66.68v-14.023c0-34.239 27.315-61.554 61.553-61.554s61.553 27.315 61.553 61.554v56.252c-18.113-10.823-39.251-17.06-61.786-17.06c-66.62 0-121.068 54.448-121.068 121.068S61.38 448 128 448s121.068-54.447 121.068-121.068c0-23.29-6.661-45.088-18.164-63.596v-96.664c0-56.46-46.21-102.672-102.67-102.672zM128 246.982c44.398 0 79.95 35.552 79.95 79.95c0 44.399-35.552 79.95-79.95 79.95s-79.95-35.551-79.95-79.95c0-44.398 35.552-79.95 79.95-79.95zm.395 46.393c-18.735 0-33.922 15.187-33.922 33.922s15.187 33.922 33.922 33.922c18.734 0 33.922-15.187 33.922-33.922s-15.188-33.922-33.922-33.922z" color="currentColor"></path></svg></a>


Open methods: The methodology for calibrating fundus photographs is made available on GitHub.

	<li><div>
<b>ZOSPy: optical ray tracing in Python through OpticStudio.</b>
<br>
<small><em>Journal of Open Source Software</em>
	(2024),&#32;<a href="https://doi.org/10.21105/joss.05756" target="_blank" style="white-space: nowrap;">doi: 10.21105/joss.05756&nbsp;
			<svg style="height: 1em; display: inline-block; vertical-align: middle; padding-bottom:0.3em;" xmlns="http://www.w3.org/2000/svg" viewBox="0 50 400 340"><path fill="currentColor" d="M128.233 64c-56.46 0-102.67 46.212-102.67 102.672v14.023H66.68v-14.023c0-34.239 27.315-61.554 61.553-61.554s61.553 27.315 61.553 61.554v56.252c-18.113-10.823-39.251-17.06-61.786-17.06c-66.62 0-121.068 54.448-121.068 121.068S61.38 448 128 448s121.068-54.447 121.068-121.068c0-23.29-6.661-45.088-18.164-63.596v-96.664c0-56.46-46.21-102.672-102.67-102.672zM128 246.982c44.398 0 79.95 35.552 79.95 79.95c0 44.399-35.552 79.95-79.95 79.95s-79.95-35.551-79.95-79.95c0-44.398 35.552-79.95 79.95-79.95zm.395 46.393c-18.735 0-33.922 15.187-33.922 33.922s15.187 33.922 33.922 33.922c18.734 0 33.922-15.187 33.922-33.922s-15.188-33.922-33.922-33.922z" color="currentColor"></path></svg></a>


Open methods: We published ZOSPy open-source on GitHub, so you cannot only use it, but also contribute to it.

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<b>Automatic Three-Dimensional Magnetic Resonance-based measurements of tumour prominence and basal diameter for treatment planning of uveal melanoma.</b>
<br>
<small><em>Physics and Imaging in Radiation Oncology</em>
	(2022),&#32;<a href="https://scholarlypublications.universiteitleiden.nl/access/item%3A3567312/view"  target="_blank" style="white-space: nowrap;">doi: 10.1016/j.phro.2022.11.001&nbsp;
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Open methods: The Python code to calculate the tumour prominence and basal diameter can be found in Appendix C.
Open data: The MRI and ultrasound measurements of all individual patients are available in Appendix D.

	<li><div>
<b>The Value of Static Perimetry in the Diagnosis and Follow-up of Negative Dysphotopsia.</b>
<br>
<small><em>Optometry and Vision Science</em>
	(2022),&#32;<a href="https://doi.org/10.1097/opx.0000000000001918" target="_blank" style="white-space: nowrap;">doi: 10.1097/opx.0000000000001918&nbsp;
			<svg style="height: 1em; display: inline-block; vertical-align: middle; padding-bottom:0.3em;" xmlns="http://www.w3.org/2000/svg" viewBox="0 50 400 340"><path fill="currentColor" d="M128.233 64c-56.46 0-102.67 46.212-102.67 102.672v14.023H66.68v-14.023c0-34.239 27.315-61.554 61.553-61.554s61.553 27.315 61.553 61.554v56.252c-18.113-10.823-39.251-17.06-61.786-17.06c-66.62 0-121.068 54.448-121.068 121.068S61.38 448 128 448s121.068-54.447 121.068-121.068c0-23.29-6.661-45.088-18.164-63.596v-96.664c0-56.46-46.21-102.672-102.67-102.672zM128 246.982c44.398 0 79.95 35.552 79.95 79.95c0 44.399-35.552 79.95-79.95 79.95s-79.95-35.551-79.95-79.95c0-44.398 35.552-79.95 79.95-79.95zm.395 46.393c-18.735 0-33.922 15.187-33.922 33.922s15.187 33.922 33.922 33.922c18.734 0 33.922-15.187 33.922-33.922s-15.188-33.922-33.922-33.922z" color="currentColor"></path></svg></a>


Open methods: The Python code to digitize the visual field data is shared through GitHub.

	<li><div>
<b>T2 relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms.</b>
<br>
<small><em>Magnetic Resonance in Medicine</em>
	(2020),&#32;<a href="https://doi.org/10.1002/mrm.28290" target="_blank" style="white-space: nowrap;">doi: 10.1002/mrm.28290&nbsp;
			<svg style="height: 1em; display: inline-block; vertical-align: middle; padding-bottom:0.3em;" xmlns="http://www.w3.org/2000/svg" viewBox="0 50 400 340"><path fill="currentColor" d="M128.233 64c-56.46 0-102.67 46.212-102.67 102.672v14.023H66.68v-14.023c0-34.239 27.315-61.554 61.553-61.554s61.553 27.315 61.553 61.554v56.252c-18.113-10.823-39.251-17.06-61.786-17.06c-66.62 0-121.068 54.448-121.068 121.068S61.38 448 128 448s121.068-54.447 121.068-121.068c0-23.29-6.661-45.088-18.164-63.596v-96.664c0-56.46-46.21-102.672-102.67-102.672zM128 246.982c44.398 0 79.95 35.552 79.95 79.95c0 44.399-35.552 79.95-79.95 79.95s-79.95-35.551-79.95-79.95c0-44.398 35.552-79.95 79.95-79.95zm.395 46.393c-18.735 0-33.922 15.187-33.922 33.922s15.187 33.922 33.922 33.922c18.734 0 33.922-15.187 33.922-33.922s-15.188-33.922-33.922-33.922z" color="currentColor"></path></svg></a>


Open methods: The multi-component EPG fitting algorithm is provided for Mathematica, Matlab and Python.

	<li><div>
<b>MRI of Uveal Melanoma.</b>
<br>
<small><em>Cancers</em>
	(2019),&#32;<a href="https://doi.org/10.3390/cancers11030377" target="_blank" style="white-space: nowrap;">doi: 10.3390/cancers11030377&nbsp;
			<svg style="height: 1em; display: inline-block; vertical-align: middle; padding-bottom:0.3em;" xmlns="http://www.w3.org/2000/svg" viewBox="0 50 400 340"><path fill="currentColor" d="M128.233 64c-56.46 0-102.67 46.212-102.67 102.672v14.023H66.68v-14.023c0-34.239 27.315-61.554 61.553-61.554s61.553 27.315 61.553 61.554v56.252c-18.113-10.823-39.251-17.06-61.786-17.06c-66.62 0-121.068 54.448-121.068 121.068S61.38 448 128 448s121.068-54.447 121.068-121.068c0-23.29-6.661-45.088-18.164-63.596v-96.664c0-56.46-46.21-102.672-102.67-102.672zM128 246.982c44.398 0 79.95 35.552 79.95 79.95c0 44.399-35.552 79.95-79.95 79.95s-79.95-35.551-79.95-79.95c0-44.398 35.552-79.95 79.95-79.95zm.395 46.393c-18.735 0-33.922 15.187-33.922 33.922s15.187 33.922 33.922 33.922c18.734 0 33.922-15.187 33.922-33.922s-15.188-33.922-33.922-33.922z" color="currentColor"></path></svg></a>


Open methods: An extensive description of the MRI protocol for intra-ocular pathology can be found here.

Reuse our data