ArticleCommunications biology2018
Local raster image correlation spectroscopy generates high-resolution intracellular diffusion maps.
Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 44 citations in OpenAlex.
- Article
- Mapping intracellular dynamics across the whole cell with spatial statistics.Biophysical journal · 2025Article
- Segmented fluorescence correlation spectroscopy (FCS) on a commercial laser scanning microscope.Scientific reports · 2024Article
- Current capabilities and future perspectives of FCS: super-resolution microscopy, machine learning, and in vivo applications.Communications biology · 2023Review
- Vast heterogeneity in cytoplasmic diffusion rates revealed by nanorheology and Doppelgänger simulations.Biophysical journal · 2023Article
- SPLIT-PIN software enabling confocal and super-resolution imaging with a virtually closed pinhole.Scientific reports · 2023Article
- A phasor-based approach to improve optical sectioning in any confocal microscope with a tunable pinhole.Microscopy research and technique · 2022Article
- Identification of a New Cholesterol-Binding Site within the IFN-γ Receptor that is Required for Signal Transduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Phasor map analysis to investigate Hutchinson-Gilford progeria cell under polarization-resolved optical scanning microscopy.Scientific reports · 2022Article
- A survey of physical methods for studying nuclear mechanics and mechanobiology.APL bioengineering · 2021Review
- Evaluation of sted super-resolution image quality by image correlation spectroscopy (QuICS).Scientific reports · 2021Article
- Article
- Phasor approach of Mueller matrix optical scanning microscopy for biological tissue imaging.Biophysical journal · 2021Article
- Fluorescence Fluctuation Spectroscopy enables quantification of potassium channel subunit dynamics and stoichiometry.Scientific reports · 2021Article
- Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS).Sensors (Basel, Switzerland) · 2021Article
- Internalization of α-synuclein oligomers into SH-SY5Y cells.Biophysical journal · 2021Article
- Confocal-based fluorescence fluctuation spectroscopy with a SPAD array detector.Light, science & applications · 2021Article
- Navigating the crowd: visualizing coordination between genome dynamics, structure, and transcription.Genome biology · 2020Review
- Combined Selective Plane Illumination Microscopy and FRAP Maps Intranuclear Diffusion of NLS-GFP.Biophysical journal · 2020Article
- Nanoscale Distribution of Nuclear Sites by Super-Resolved Image Cross-Correlation Spectroscopy.Biophysical journal · 2019Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raster image correlation spectroscopy (RICS) is a powerful method for measuring molecular diffusion in live cells directly from images acquired on a laser scanning microscope. However, RICS only provides single average diffusion coefficients from regions with a lateral size on the order of few micrometers, which means that its spatial resolution is mainly limited to the cellular level. Here we introduce the local RICS (L-RICS), an easy-to-use tool that generates high resolution maps of diffusion coefficients from images acquired on a laser scanning microscope. As an application we show diffusion maps of a green fluorescent protein (GFP) within the nucleus and within the nucleolus of live cells at an effective spatial resolution of 500 nm. We find not only that diffusion in the nucleolus is slowed down compared to diffusion in the nucleoplasm, but also that diffusion in the nucleolus is highly heterogeneous.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.