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Single-molecule localization microscopy (SMLM) enables visualization of cytoskeletal architecture at nanoscale, uncovering ultrastructural details obscured in conventional imaging. In this study, we present a quantitative framework for characterizing microtubule continuity and integrity based on SMLM super-resolution imaging. We first applied this approach to evaluate the effects of various chemical fixation protocols on microtubule structural preservation. While conventional immunofluorescence imaging suggested intact microtubules after paraformaldehyde (PFA) fixation, SMLM revealed substantial fragmentation. To address this, we developed a computational algorithm that quantifies microtubule fragmentation using a defined fragmentation index (FI). Under identical 30-min fixation, quantitative analysis revealed a fragmentation hierarchy: 4% PFA > methanol > 1% glutaraldehyde (GA) ≈ 3% PFA + 0.1% GA, with the PFA-GA combination offering superior structural integrity and minimal background noise. Although prolonged PFA fixation improved preservation, it remained inferior to PFA-GA co-fixation. Notably, even a 10-min PFA-GA treatment was sufficient for effective stabilization. We further applied our framework to quantify microtubule length index (LI) in nocodazole-treated cells, revealing a drug-specific, dose-dependent microtubule disassembly. Together, we develop a quantitative pipeline based on SMLM, which establishes PFA-GA co-fixation as an optimal protocol for microtubule imaging and provides a scalable tool for super-resolution-based pharmacological screening.
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http://dx.doi.org/10.1002/cm.70017 | DOI Listing |
Nat Commun
September 2025
Physikalisches Institut, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Precise control of spin states and spin-spin interactions in atomic-scale magnetic structures is crucial for spin-based quantum technologies. A promising architecture is molecular spin systems, which offer chemical tunability and scalability for larger structures. An essential component, in addition to the qubits themselves, is switchable qubit-qubit interactions that can be individually addressed.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, P. R. China.
Exhaled breath analysis offers noninvasive, early lung cancer detection via volatile organic compound (VOC) biomarkers, surpassing blood-based methods. Surface-enhanced Raman spectroscopy (SERS) is ideal for this purpose, combining molecular fingerprint specificity with single-molecule sensitivity. However, conventional SERS substrates face a fundamental limitation: while porous materials such as metal-organic frameworks effectively adsorb VOCs through their subnanometer pores (0.
View Article and Find Full Text PDFTalanta
August 2025
School of Public Health &Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330031, PR China. Electronic address:
Hemorrhagic fever with renal syndrome (HFRS), caused by Hantaan virus, poses a serious public health threat. Current diagnostic methods remain limited by low sensitivity, complex procedures, and high sample requirements. To address this, we developed a highly sensitive single-molecule biosensor using multi-fluorophore nucleic acid probes and STORM imaging for the detection of Hantaan virus RNA.
View Article and Find Full Text PDFThe brain is a metabolically demanding organ as it orchestrates and stabilizes neuronal network activity through plasticity. This mechanism imposes enormous and prolonged energetic demands at synapses, yet it is unclear how these needs are met in a sustained manner. Mitochondria serve as a local energy supply for dendritic spines, providing instant and sustained energy during synaptic plasticity.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Physical and Chemical Sciences, University of Toronto, Mississauga, Ontario, Canada.
Single-cell fluorescence characterization has gained much attention for studying the dynamics of individual cells in human diseases such as cancer. Despite the abundance of literature on quantitative fluorescence microscopy and its advantages in measuring cell-to-cell variation and spatial variation over other high-throughput instruments, there lacks a concise model that one can follow to maximize the quality of images. Here, we used the signal-to-noise ratio (SNR) model to verify marketed camera parameters and optimize microscope settings to maximize SNR for quantitative single cell fluorescence microscopy (QSFM).
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