[HTML][HTML] An introduction to topological data analysis: fundamental and practical aspects for data scientists
Topological Data Analysis (TDA) is a recent and fast growing field providing a set of new
topological and geometric tools to infer relevant features for possibly complex data. This …
topological and geometric tools to infer relevant features for possibly complex data. This …
A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods
Single-molecule localization microscopy (SMLM) is a relatively new imaging modality,
winning the 2014 Nobel Prize in Chemistry, and considered as one of the key super …
winning the 2014 Nobel Prize in Chemistry, and considered as one of the key super …
Quantitative data analysis in single-molecule localization microscopy
Super-resolution microscopy, and specifically single-molecule localization microscopy
(SMLM), is becoming a transformative technology for cell biology, as it allows the study of …
(SMLM), is becoming a transformative technology for cell biology, as it allows the study of …
Distinct SAP102 and PSD-95 nano-organization defines multiple types of synaptic scaffold protein domains at single synapses.
SR Metzbower, AD Levy, PA Dharmasri… - Journal of …, 2024 - Soc Neuroscience
MAGUK scaffold proteins play a central role in maintaining and modulating synaptic
signaling, providing a framework to retain and position receptors, signaling molecules, and …
signaling, providing a framework to retain and position receptors, signaling molecules, and …
A framework for evaluating the performance of SMLM cluster analysis algorithms
Single-molecule localization microscopy (SMLM) generates data in the form of coordinates
of localized fluorophores. Cluster analysis is an attractive route for extracting biologically …
of localized fluorophores. Cluster analysis is an attractive route for extracting biologically …
Maximum-likelihood model fitting for quantitative analysis of SMLM data
Quantitative data analysis is important for any single-molecule localization microscopy
(SMLM) workflow to extract biological insights from the coordinates of the single …
(SMLM) workflow to extract biological insights from the coordinates of the single …
Cycle registration in persistent homology with applications in topological bootstrap
Y Reani, O Bobrowski - IEEE Transactions on Pattern Analysis …, 2022 - ieeexplore.ieee.org
We propose a novel approach for comparing the persistent homology representations of two
spaces (or filtrations). Commonly used methods are based on numerical summaries such as …
spaces (or filtrations). Commonly used methods are based on numerical summaries such as …
[HTML][HTML] Recent development of computational cluster analysis methods for single-molecule localization microscopy images
With the development of super-resolution imaging techniques, it is crucial to understand
protein structure at the nanoscale in terms of clustering and organization in a cell. However …
protein structure at the nanoscale in terms of clustering and organization in a cell. However …
Recent advances and prospects in the research of nascent adhesions
B Henning Stumpf, A Ambriović-Ristov… - Frontiers in …, 2020 - frontiersin.org
Nascent adhesions are submicron transient structures promoting the early adhesion of cells
to the extracellular matrix. Nascent adhesions typically consist of several tens of integrins …
to the extracellular matrix. Nascent adhesions typically consist of several tens of integrins …
A topological data analysis approach on predicting phenotypes from gene expression data
The goal of this study was to investigate if gene expression measured from RNA sequencing
contains enough signal to separate healthy and afflicted individuals in the context of …
contains enough signal to separate healthy and afflicted individuals in the context of …