TY - JOUR A1 - Vollmer, Andreas A1 - Saravi, Babak A1 - Breitenbuecher, Niko A1 - Mueller-Richter, Urs A1 - Straub, Anton A1 - Šimić, Luka A1 - Kübler, Alexander A1 - Vollmer, Michael A1 - Gubik, Sebastian A1 - Volland, Julian A1 - Hartmann, Stefan A1 - Brands, Roman C. T1 - Realizing in-house algorithm-driven free fibula flap set up within 24 hours BT - a pilot study evaluating accuracy with open-source tools JF - Frontiers in Surgery N2 - Objective: This study aims to critically evaluate the effectiveness and accuracy of a time safing and cost-efficient open-source algorithm for in-house planning of mandibular reconstructions using the free osteocutaneous fibula graft. The evaluation focuses on quantifying anatomical accuracy and assessing the impact on ischemia time. Methods: A pilot study was conducted, including patients who underwent in-house planned computer-aided design and manufacturing (CAD/CAM) of free fibula flaps between 2021 and 2023. Out of all patient cases, we included all with postoperative 3D imaging in the study. The study utilized open-source software tools for the planning step, and three-dimensional (3D) printing techniques. The Hausdorff distance and Dice coefficient metrics were used to evaluate the accuracy of the planning procedure. Results: The study assessed eight patients (five males and three females, mean age 61.75 ± 3.69 years) with different diagnoses such as osteoradionecrosis and oral squamous cell carcinoma. The average ischemia time was 68.38 ± 27.95 min. For the evaluation of preoperative planning vs. the postoperative outcome, the mean Hausdorff Distance was 1.22 ± 0.40. The Dice Coefficients yielded a mean of 0.77 ± 0.07, suggesting a satisfactory concordance between the planned and postoperative states. Dice Coefficient and Hausdorff Distance revealed significant correlations with ischemia time (Spearman's rho = −0.810, p = 0.015 and Spearman's rho = 0.762, p = 0.028, respectively). Linear regression models adjusting for disease type further substantiated these findings. Conclusions: The in-house planning algorithm not only achieved high anatomical accuracy, as reflected by the Dice Coefficients and Hausdorff Distance metrics, but this accuracy also exhibited a significant correlation with reduced ischemia time. This underlines the critical role of meticulous planning in surgical outcomes. Additionally, the algorithm's open-source nature renders it cost-efficient, easy to learn, and broadly applicable, offering promising avenues for enhancing both healthcare affordability and accessibility. KW - mandibular KW - reconstruction KW - preoperative KW - planning KW - ischemia KW - osteocutaneous KW - fibula KW - graft KW - computer-aided KW - design KW - manufacturing (CAD/CAM) Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-353945 N1 - Funding The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article. VL - 10 ER - TY - JOUR A1 - Dirk, Robin A1 - Fischer, Jonas L. A1 - Schardt, Simon A1 - Ankenbrand, Markus J. A1 - Fischer, Sabine C. T1 - Recognition and reconstruction of cell differentiation patterns with deep learning JF - PLoS Computational Biology N2 - Abstract Cell lineage decisions occur in three-dimensional spatial patterns that are difficult to identify by eye. There is an ongoing effort to replicate such patterns using mathematical modeling. One approach uses long ranging cell-cell communication to replicate common spatial arrangements like checkerboard and engulfing patterns. In this model, the cell-cell communication has been implemented as a signal that disperses throughout the tissue. On the other hand, machine learning models have been developed for pattern recognition and pattern reconstruction tasks. We combined synthetic data generated by the mathematical model with spatial summary statistics and deep learning algorithms to recognize and reconstruct cell fate patterns in organoids of mouse embryonic stem cells. Application of Moran’s index and pair correlation functions for in vitro and synthetic data from the model showed local clustering and radial segregation. To assess the patterns as a whole, a graph neural network was developed and trained on synthetic data from the model. Application to in vitro data predicted a low signal dispersion value. To test this result, we implemented a multilayer perceptron for the prediction of a given cell fate based on the fates of the neighboring cells. The results show a 70% accuracy of cell fate imputation based on the nine nearest neighbors of a cell. Overall, our approach combines deep learning with mathematical modeling to link cell fate patterns with potential underlying mechanisms. Author summary Mammalian embryo development relies on organized differentiation of stem cells into different lineages. Particularly at the early stages of embryogenesis, cells of different fates form three-dimensional spatial patterns that are difficult to identify by eye. Pattern quantification and mathematical modeling have produced first insights into potential mechanisms for the cell fate arrangements. However, these approaches have relied on classifications of the patterns such as inside-out or random, or used summary statistics such as pair correlation functions or cluster radii. Deep neural networks allow characterizing patterns directly. Since the tissue context can be readily reproduced by a graph, we implemented a graph neural network to characterize the patterns of embryonic stem cell organoids as a whole. In addition, we implemented a multilayer perceptron model to reconstruct the fate of a given cell based on its neighbors. To train and test the models, we used synthetic data generated by our mathematical model for cell-cell communication. This interplay of deep learning and mathematical modeling in combination with summary statistics allowed us to identify a potential mechanism for cell fate determination in mouse embryonic stem cells. Our results agree with a mechanism with a dispersion of the intercellular signal that links a cell’s fate to those of the local neighborhood. KW - recognition KW - reconstruction KW - cell differentiation patterns KW - deep learning KW - mouse embryonic stem cells KW - multilayer perceptron model Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-350167 VL - 19 IS - 10 ER - TY - JOUR A1 - Ullherr, Maximilian A1 - Diez, Matthias A1 - Zabler, Simon T1 - Robust image reconstruction strategy for multiscalar holotomography JF - Journal of Imaging N2 - Holotomography is an extension of computed tomography where samples with low X-ray absorption can be investigated with higher contrast. In order to achieve this, the imaging system must yield an optical resolution of a few micrometers or less, which reduces the measurement area (field of view = FOV) to a few mm at most. If the sample size, however, exceeds the field of view (called local tomography or region of interest = ROI CT), filter problems arise during the CT reconstruction and phase retrieval in holotomography. In this paper, we will first investigate the practical impact of these filter problems and discuss approximate solutions. Secondly, we will investigate the effectiveness of a technique we call “multiscalar holotomography”, where, in addition to the ROI CT, a lower resolution non-ROI CT measurement is recorded. This is used to avoid the filter problems while simultaneously reconstructing a larger part of the sample, albeit with a lower resolution in the additional area. KW - reconstruction KW - region of interest KW - ROI KW - multiscalar holotomography KW - holotomography KW - computed tomography KW - CT KW - X-ray Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-262112 SN - 2313-433X VL - 8 IS - 2 ER - TY - JOUR A1 - Rother, Lisa A1 - Kraft, Nadine A1 - Smith, Dylan B. A1 - El Jundi, Basil A1 - Gill, Richard J. A1 - Pfeiffer, Keram T1 - A micro-CT-based standard brain atlas of the bumblebee JF - Cell and Tissue Research N2 - In recent years, bumblebees have become a prominent insect model organism for a variety of biological disciplines, particularly to investigate learning behaviors as well as visual performance. Understanding these behaviors and their underlying neurobiological principles requires a clear understanding of brain anatomy. Furthermore, to be able to compare neuronal branching patterns across individuals, a common framework is required, which has led to the development of 3D standard brain atlases in most of the neurobiological insect model species. Yet, no bumblebee 3D standard brain atlas has been generated. Here we present a brain atlas for the buff-tailed bumblebee Bombus terrestris using micro-computed tomography (micro-CT) scans as a source for the raw data sets, rather than traditional confocal microscopy, to produce the first ever micro-CT-based insect brain atlas. We illustrate the advantages of the micro-CT technique, namely, identical native resolution in the three cardinal planes and 3D structure being better preserved. Our Bombus terrestris brain atlas consists of 30 neuropils reconstructed from ten individual worker bees, with micro-CT allowing us to segment neuropils completely intact, including the lamina, which is a tissue structure often damaged when dissecting for immunolabeling. Our brain atlas can serve as a platform to facilitate future neuroscience studies in bumblebees and illustrates the advantages of micro-CT for specific applications in insect neuroanatomy. KW - neuropils KW - Bombus terrestris KW - insect standard brain atlas KW - iterative shape averaging KW - reconstruction Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-267783 SN - 1432-0878 VL - 386 IS - 1 ER - TY - JOUR A1 - Pollinger, Florian A1 - Schmitt, Stefan A1 - Sander, Dirk A1 - Tian, Zhen A1 - Kirschner, Jürgen A1 - Vrdoljak, Pavo A1 - Stadler, Christoph A1 - Maier, Florian A1 - Marchetto, Helder A1 - Schmidt, Thomas A1 - Schöll, Achim A1 - Umbach, Eberhard T1 - Nanoscale patterning, macroscopic reconstruction, and enhanced surface stress by organic adsorption on vicinal surfaces JF - New Journal of Physics N2 - Self-organization is a promising method within the framework of bottom-up architectures to generate nanostructures in an efficient way. The present work demonstrates that self- organization on the length scale of a few to several tens of nanometers can be achieved by a proper combination of a large (organic) molecule and a vicinal metal surface if the local bonding of the molecule on steps is significantly stronger than that on low-index surfaces. In this case thermal annealing may lead to large mass transport of the subjacent substrate atoms such that nanometer-wide and micrometer-long molecular stripes or other patterns are being formed on high-index planes. The formation of these patterns can be controlled by the initial surface orientation and adsorbate coverage. The patterns arrange self-organized in regular arrays by repulsive mechanical interactions over long distances accompanied by a significant enhancement of surface stress. We demonstrate this effect using the planar organic molecule PTCDA as adsorbate and Ag(10 8 7) and Ag(775)surfaces as substrate. The patterns are directly observed by STM, the formation of vicinal surfaces is monitored by highresolution electron diffraction, the microscopic surface morphology changes are followed by spectromicroscopy, and the macroscopic changes of surface stress are measured by a cantilever bending method. The in situ combination of these complementary techniques provides compelling evidence for elastic interaction and a significant stress contribution to long-range order and nanopattern formation. KW - physics KW - patterning KW - reconstruction KW - surface stress KW - STM KW - SPA-LEED KW - vicinal surfaces KW - adsoption Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-171947 VL - 19 ER - TY - JOUR A1 - Markert, Sebastian Matthias A1 - Britz, Sebastian A1 - Proppert, Sven A1 - Lang, Marietta A1 - Witvliet, Daniel A1 - Mulcahy, Ben A1 - Sauer, Markus A1 - Zhen, Mei A1 - Bessereau, Jean-Louis A1 - Stigloher, Christian T1 - Filling the gap: adding super-resolution to array tomography for correlated ultrastructural and molecular identification of electrical synapses at the C. elegans connectome JF - Neurophotonics N2 - Correlating molecular labeling at the ultrastructural level with high confidence remains challenging. Array tomography (AT) allows for a combination of fluorescence and electron microscopy (EM) to visualize subcellular protein localization on serial EM sections. Here, we describe an application for AT that combines near-native tissue preservation via high-pressure freezing and freeze substitution with super-resolution light microscopy and high-resolution scanning electron microscopy (SEM) analysis on the same section. We established protocols that combine SEM with structured illumination microscopy (SIM) and direct stochastic optical reconstruction microscopy (dSTORM). We devised a method for easy, precise, and unbiased correlation of EM images and super-resolution imaging data using endogenous cellular landmarks and freely available image processing software. We demonstrate that these methods allow us to identify and label gap junctions in Caenorhabditis elegans with precision and confidence, and imaging of even smaller structures is feasible. With the emergence of connectomics, these methods will allow us to fill in the gap-acquiring the correlated ultrastructural and molecular identity of electrical synapses. KW - caenorhabditis elegans KW - localization micoscopy KW - fluorescent-probes KW - junction proteins KW - resolution limit KW - direct stochasticoptical reconstruction microscopy KW - structured illumination microscopy KW - correlative light and electron microscopy KW - gap junction KW - neural circuits KW - nervous-system KW - image data KW - reconstruction KW - innexins KW - super-resolution microscopy Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-187292 VL - 3 IS - 4 ER - TY - THES A1 - Slawig, Anne T1 - Reconstruction methods for the frequency-modulated balanced steady-state free precession MRI-sequence T1 - Rekonstruktionsmethoden für die frequenz-modulierte balanced steady-state free precession MRT-Sequenz N2 - This work considered the frequency-modulated balanced steady-state free precession (fm-bSSFP) sequence as a tool to provide banding free bSSFP MR images. The sequence was implemented and successfully applied to suppress bandings in various in vitro and in vivo examples. In combination with a radial trajectory it is a promising alternative for standard bSSFP applications. First, two specialized applications were shown to establish the benefits of the acquisition strategy in itself. In real time cardiac imaging, it was shown that the continuous shift in frequency causes a movement of the bandings across the FOV. Thus, no anatomical region is constantly impaired, and a suitable timeframe can be found to examine all important structures. Furthermore, a combination of images with different artifact positions, similar to phase-cycled acquisitions is possible. In this way, fast, banding-free imaging of the moving heart was realized. Second, acquisitions with long TR were shown. While standard bSSFP suffers from increasing incidence of bandings with higher TR values, the frequency-modulated approach provided banding free images, regardless of the TR. A huge disadvantage of fm-bSSFP, in combination with the radial trajectory, is the decrease in signal intensity. In this work a specialized reconstruction method, the multifrequency reconstruction for frequency-modulated bSSFP (Muffm), was established, which successfully compensated that phenomena. The application of Muffm to several anatomical sites, such as inner ear, legs and cardiac acquisitions, proofed the advantageous SNR of the reconstruction. Furthermore, fm-bSSFP was applied to the clinically highly relevant task of water-fat separation. Former approaches of a phase-sensitive separation procedure in combination with standard bSSFP showed promising results but failed in cases of high inhomogeneity or high field strengths where banding artifacts become a major issue. The novel approach of using the fm-bSSFP acquisition strategy with the separation approach provided robust, reliable images of high quality. Again, losses in signal intensity could be regained by Muffm, as both approaches are completely compatible. Opposed to conventional banding suppression techniques, like frequency-scouts or phase-cycling, all reconstruction methods established in this work rely on a single radial acquisition, with scan times similar to standard bSSFP scans. No prolonged measurement times occur and patient time in the scanner is kept as short as possible, improving patient comfort, susceptibility to motion or physiological noise and cost of one scan. All in all, the frequency-modulated acquisition in combination with specializes reconstruction methods, leads to a completely new quality of images with short acquisition times. N2 - In dieser Arbeit wird eine Modifikation der balanced steady-state free precession (bSSFP) Sequenz betrachtet. Die frequenzmodulierte bSSFP-Sequenz (fm-bSSFP) kann die sonst typischen Band-Artefakte in bSSFP-MR-Bildern verhindern. Die Sequenz wurde im Rahmen der Arbeit am MR-Scanner implementiert und erfolgreich in verschiedenen in-vitro- und in-vivo-Beispielen angewendet. In Kombination mit einer radialen Trajektorie erwies es sich als eine vielversprechende Alternative für alle Standard-bSSFP Anwendungen. Zuerst wurden zwei spezialisierte Anwendungen gezeigt, um die Vorteile der Akquisitionsstrategie an sich darzustellen. Am Beispiel der Echtzeit-Herzbildgebung konnte mit Hilfe der kontinuierlichen Frequenzverschiebung eine Bewegung der Bänder über das FOV erzeugt werden. Somit wird keine anatomische Region ständig von Artefakten überlagert und für jeden Bereich kann ein geeigneter Zeitrahmen gefunden werden, um die wichtigen Strukturen darzustellen und zu untersuchen. Darüber hinaus ist eine Kombination von Bildern mit verschiedenen Artefaktpositionen möglich, ähnlich zu mehreren Aufnahmen mit verschiedenen Phasenzyklen. Auf diese Weise wurde eine schnelle Bildgebung des sich bewegenden Herzens ohne Bandartefakte realisiert. Zusätzlich wurden Aufnahmen mit langen Repetitionszeiten (TR) untersucht. Während in der Standard-bSSFP die Häufigkeit von Bandartefakten mit steigendem TR-Wert zunimmt, lieferte der frequenzmodulierte Ansatz Banding-freie Bilder unabhängig vom TR. Ein großer Nachteil von fm-bSSFP in Kombination mit der radialen Trajektorie ist der Verlust von Signalintensität bei der Rekonstruktion. In dieser Arbeit wurde eine spezielle Rekonstruktionsmethode namens Muffm (mulitfrequency reconstruction for frequency-modulated bSSFP) etabliert, die diesen Verlust erfolgreich kompensieren kann. Die Anwendung von Muffm an verschiedenen anatomischen Strukturen, wie Innenohr, Bein und Herzaufnahmen, bestätigte das vorteilhafte Signal-zu-Rausch-Verhältnis, dass durch die spezielle Rekonstruktion gewonnen werden kann. Darüber hinaus wurde die fm-bSSFP auf die klinisch interessante Wasser-Fett-Trennung angewandt. Frühere Ansätze eines phasenempfindlichen Trennverfahrens in Kombination mit Standard-bSSFP zeigten vielversprechende Ergebnisse, scheiterten jedoch in Fällen hoher Inhomogenität oder hoher Feldstärken an den auftretenden Bandartefakten. Der neue Ansatz, diesen Separationsalgorithmus mit der fm-bSSFP-Akquisitionsstrategie zu verbinden, lieferte robuste, zuverlässige Bilder von hoher Qualität. Auch hier konnten entstehende Verluste in der Signalintensität durch Muffm zurückgewonnen werden, da beide Ansätze vollständig kompatibel sind. Im Gegensatz zu herkömmlichen Bandunterdrückungstechniken, wie Frequenz-Scouts oder die Aufnahme mehrerer Bilder mit verschiedenen Phasenzyklen, beruhen alle in dieser Arbeit etablierten Rekonstruktionsverfahren auf einer einzigen radialen Aufnahme. Die Messzeiten sind daher identisch zur Aufnahme einer Standard-bSSFP Messung. Das Verfahren ermöglicht eine deutliche Verkürzung der Aufenthaltsdauer im Scanner bei einer gleichzeitigen Garantie ein artefaktfreies Bild zu erhalten. Damit ist es insbesondere für Patienten von Vorteil, die unter Platzangst oder sonstigen Beschwerden leiden, die ein langes Stillliegen erschweren. Außerdem werden Bewegungsartefakte, physiologisches Rauschen und nicht zuletzt die Kosten eines Scans minimiert. Insgesamt bietet die frequenzmodulierte bSSFP Aufnahme in Kombination mit spezialisierten Rekonstruktionsverfahren neue Möglichkeiten zur schnellen Aufnahme von Bildern ohne Bandartefakte. KW - Kernspintomografie KW - Magnetic resonance imaging KW - MRI KW - MRT KW - bSSFP KW - Rekonstruktion KW - reconstruction KW - frequency modulation KW - water fat separation KW - Wasser Fett Trennung KW - balanced steady state free precession Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-162871 ER - TY - JOUR A1 - Nanguneri, Siddharth A1 - Flottmann, Benjamin A1 - Horstmann, Heinz A1 - Heilemann, Mike A1 - Kuner, Thomas T1 - Three-Dimensional, Tomographic Super-Resolution Fluorescence Imaging of Serially Sectioned Thick Samples JF - PLoS One N2 - Three-dimensional fluorescence imaging of thick tissue samples with near-molecular resolution remains a fundamental challenge in the life sciences. To tackle this, we developed tomoSTORM, an approach combining single-molecule localization-based super-resolution microscopy with array tomography of structurally intact brain tissue. Consecutive sections organized in a ribbon were serially imaged with a lateral resolution of 28 nm and an axial resolution of 40 nm in tissue volumes of up to 50 \(\mu\)mx50\(\mu\)mx2.5\(\mu\)m. Using targeted expression of membrane bound (m)GFP and immunohistochemistry at the calyx of Held, a model synapse for central glutamatergic neurotransmission, we delineated the course of the membrane and fine-structure of mitochondria. This method allows multiplexed super-resolution imaging in large tissue volumes with a resolution three orders of magnitude better than confocal microscopy. KW - architecture KW - rat calyx KW - in-vivo KW - microscopy KW - resolution KW - proteins KW - transmission KW - ultrastructure KW - reconstruction KW - localization Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-134434 VL - 7 IS - 5 ER - TY - JOUR A1 - Koetschan, Christian A1 - Kittelmann, Sandra A1 - Lu, Jingli A1 - Al-Halbouni, Djamila A1 - Jarvis, Graeme N. A1 - Müller, Tobias A1 - Wolf, Matthias A1 - Janssen, Peter H. T1 - Internal Transcribed Spacer 1 Secondary Structure Analysis Reveals a Common Core throughout the Anaerobic Fungi (Neocallimastigomycota) JF - PLOS ONE N2 - The internal transcribed spacer (ITS) is a popular barcode marker for fungi and in particular the ITS1 has been widely used for the anaerobic fungi (phylum Neocallimastigomycota). A good number of validated reference sequences of isolates as well as a large number of environmental sequences are available in public databases. Its highly variable nature predisposes the ITS1 for low level phylogenetics; however, it complicates the establishment of reproducible alignments and the reconstruction of stable phylogenetic trees at higher taxonomic levels (genus and above). Here, we overcame these problems by proposing a common core secondary structure of the ITS1 of the anaerobic fungi employing a Hidden Markov Model-based ITS1 sequence annotation and a helix-wise folding approach. We integrated the additional structural information into phylogenetic analyses and present for the first time an automated sequence-structure-based taxonomy of the ITS1 of the anaerobic fungi. The methodology developed is transferable to the ITS1 of other fungal groups, and the robust taxonomy will facilitate and improve high-throughput anaerobic fungal community structure analysis of samples from various environments. KW - profile distances KW - ITS2 KW - phylogenetic trees KW - RNA sequence KW - reconstruction KW - diversity KW - populations KW - tool KW - systematics KW - herbivores Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-117058 VL - 9 IS - 3 ER -