Schematic Figure – Retina (Creative Commons License)

Do you need a free schematic figure of the retina for your work? We needed one, too. So we created one and publish it here under a Creative Commons License, so you can use for free in your own commercial and non-commercial works. The only thing we ask for is referencing this website, if you decide to use the figure. You are also allowed to alter it, under the condition that you keep the reference to our original version.

You can download a zipped eps vector file (ca. 3 MB) here: neurodial_retina_v1.eps

This figure is made vailable under the following Creative Commons License:
Creative Commons License
Schematic Figure – Retina by Neurodiagnostics Laboratory @ Charité – Universitätsmedizin Berlin, Germany is licensed under a Creative Commons Attribution 4.0 International License.

Schematic Figure – Macular OCT with Intraretinal Layers (Creative Commons License)

Do you need a free schematic figure of a 3D macular OCT with labelled intraretinal layers for your work? We needed one, too. So we created one and publish it here under a Creative Commons License, so you can use for free in your own commercial and non-commercial works. The only thing we ask for is referencing this website, if you decide to use the figure. You are also allowed to alter it, under the condition that you keep the reference to our original version.

You can download a zipped eps vector file (ca. 2.5 MB) here: neurodial_oct_v1.eps

This figure is made vailable under the following Creative Commons License:
Creative Commons License
Schematic Figure – Macular OCT with Intraretinal Layers by Neurodiagnostics Laboratory @ Charité – Universitätsmedizin Berlin, Germany is licensed under a Creative Commons Attribution 4.0 International License.

Schematic Figure – The Afferent Visual System (Creative Commons License)

Do you need a free schematic figure of the afferent visual system for your work? We needed one, too. So we created one and publish it here under a Creative Commons License, so you can use for free in your own commercial and non-commercial works. The only thing we ask for is referencing this website, if you decide to use the figure. You are also allowed to alter it, under the condition that you keep the reference to our original version.

You can download a zipped eps vector file (ca. 8 MB) here: neurodial_avs_v1.eps

This figure is made vailable under the following Creative Commons License:
Creative Commons License
Schematic Figure – The Afferent Visual System by Neurodiagnostics Laboratory @ Charité – Universitätsmedizin Berlin, Germany is licensed under a Creative Commons Attribution 4.0 International License.

Yadav et al. – CuBe: parametric modeling of 3D foveal shape using cubic Bézier

Biomedical Optics Express, Vol. 8, Issue 9, pp. 4181-4199 (2017)

by Sunil Kumar Yadav, Seyedamirhosein Motamedi, Timm Oberwahrenbrock, Frederike Cosima Oertel, Konrad Polthier, Friedemann Paul, Ella Maria Kadas, and Alexander U. Brandt

Optical coherence tomography (OCT) allows three-dimensional (3D) imaging of the retina, and is commonly used for assessing pathological changes of fovea and macula in many diseases. Many neuroinflammatory conditions are known to cause modifications to the fovea shape. In this paper, we propose a method for parametric modeling of the foveal shape. Our method exploits invariant features of the macula from OCT data and applies a cubic Bézier polynomial along with a least square optimization to produce a best fit parametric model of the fovea. Additionally, we provide several parameters of the foveal shape based on the proposed 3D parametric modeling. Our quantitative and visual results show that the proposed model is not only able to reconstruct important features from the foveal shape, but also produces less error compared to the state-of-the-art methods. Finally, we apply the model in a comparison of healthy control eyes and eyes from patients with neuroinflammatory central nervous system disorders and optic neuritis, and show that several derived model parameters show significant differences between the two groups.

Rakhymzhan et al. – Synergistic Strategy for Multicolor Two-photon Microscopy: Application to the Analysis of Germinal Center Reactions In Vivo

Sci Rep. 2017 Aug 2;7(1):7101

by Rakhymzhan A, Leben R, Zimmermann H, Günther R, Mex P, Reismann D, Ulbricht C, Acs A, Brandt AU,  Lindquist RL, Winkler TH, Hauser AE, Niesner RA

(DIAL in cooperation with DRFZ AG Niesner)

Simultaneous detection of multiple cellular and molecular players in their native
environment, one of the keys to a full understanding of immune processes, remains
challenging for in vivo microscopy. Here, we present a synergistic strategy for
spectrally multiplexed in vivo imaging composed of (i) triple two-photon
excitation using spatiotemporal synchronization of two femtosecond lasers, (ii) a
broad set of fluorophores with emission ranging from blue to near infrared, (iii)
an effective spectral unmixing algorithm. Using our approach, we simultaneously
excite and detect seven fluorophores expressed in distinct cellular and tissue
compartments, plus second harmonics generation from collagen fibers in lymph
nodes. This enables us to visualize the dynamic interplay of all the central
cellular players during germinal center reactions. While current in vivo imaging
typically enables recording the dynamics of 4 tissue components at a time, our
strategy allows a more comprehensive analysis of cellular dynamics involving 8
single-labeled compartments. It enables to investigate the orchestration of
multiple cellular subsets determining tissue function, thus, opening the way for
a mechanistic understanding of complex pathophysiologic processes in vivo. In the
future, the design of transgenic mice combining a larger spectrum of fluorescent
proteins will reveal the full potential of our method.