Munk, Axel

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01.08.2021

What is resolution? A statistical minimax testing perspective on super-resolution microscopy

Authors Kulaitis G, Munk A, Werner F Journal The Annals of Statistic Citation Ann. Statist. 49(4): 2292-2312 (August 2021). Abstract As a general rule of thumb the resolution of a light microscope (i.e., the ability to discern objects) is predominantly described by the full width at half maximum (FWHM) of
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01.06.2021

Frame-constrained Total Variation Regularization for White Noise Regression

Authors del Álamo M, Li H, Munk A Journal The Annals of Statistics Citation Ann. Statist. 49(3): 1318-1346 (June 2021). Abstract Despite the popularity and practical success of total variation (TV) regularization for function estimation, surprisingly little is known about its theoretical performance in a statistical setting. While TV regularization
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05.05.2021

Transport Dependency: Optimal Transport Based Dependency Measures

Authors Nies TG, Staudt T, Munk A Journal ArXiv Citation arXiv:2105.02073. Abstract For probability measures supported on countable spaces we derive limit distributions for empirical entropic optimal transport quantities. In particular, we prove that the corresponding plan converges weakly to a centered Gaussian process. Furthermore, its optimal value is shown
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22.04.2021

Multiple Haplotype Reconstruction from Allele Frequency Data

Authors Pelizzola M, Behr M, Li H, Munk A, Futschik A Journal Nature Computational Science Citation Nat Comput Sci 1, 262–271 (2021). Abstract Because haplotype information is of widespread interest in biomedical applications, effort has been put into their reconstruction. Here, we propose an efficient method, called haploSep, that is
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09.04.2021

Analysis of patchclamp recordings: model-free multiscale methods and software

Authors Pein F, Eltzner B, Munk A Journal European Biophysics Journal Citation Eur Biophys J. 2021 Apr 9. Abstract Analysis of patchclamp recordings is often a challenging issue. We give practical guidance how such recordings can be analyzed using the model-free multiscale idealization methodology JSMURF, JULES, and HILDE. We provide
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25.03.2021

Colocalization for super-resolution microscopy via optimal transport

Authors Tameling C, Stoldt S, Stephan T, Naas J, Jakobs S, Munk A Journal Nature Computational Science Citation Nat Comput Sci 1, 199–211 (2021). Abstract Super-resolution fluorescence microscopy is a widely used technique in cell biology. Stimulated emission depletion (STED) microscopy enables the recording of multiple-color images with subdiffraction resolution.
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03.03.2021

An antibiotic-resistance conferring mutation in a neisserial porin: Structure, ion flux, and ampicillin binding

Authors Bartsch A, Ives CM, Kattner C, Pein F, Diehn M, Tanabe M, Munk A, Zachariae U, Steinem C, Llabrés S Journal Biochimica et Biophysica Acta – Biomembranes Citation Biochim Biophys Acta Biomembr. 2021 Mar 3:183601. Abstract Gram-negative bacteria cause the majority of highly drug-resistant bacterial infections. To cross the
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27.01.2021

Multiscale quantile segmentation

Authors Vanegas LJ, Behr M, Munk A Journal Journal of the American Statistical Association Citation Journal of the American Statistical Association. 2021 Jan 27. Abstract We introduce a new methodology for analyzing serial data by quantile regression assuming that the underlying quantile function consists of constant segments. The procedure does
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13.11.2020

Variational Multiscale Nonparametric Regression: Algorithms and Implementation

Authors del Alamo M, Li H, Munk A, Werner F Journal Algorithms Citation Algorithms 2020, 13(11), 296. Abstract Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric regression
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14.10.2020

Heterogeneous Idealization of Ion Channel Recordings — Open Channel Noise

Authors Pein F, Bartsch A, Steinem C, Munk A Journal IEEE Transactions on Nanobioscience Citation IEEE Trans Nanobioscience. 2020 Oct 14;PP. Abstract We propose a new model-free segmentation method for idealizing ion channel recordings. This method is designed to deal with heterogeneity of measurement errors. This in particular applies to
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