Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)

Since the introduction of super-resolution microscopy, there has been growing interest in quantifying the nanoscale spatial distributions of fluorescent probes to better understand cellular processes and their interactions. One way to check if distributions are correlated or not is to perform coloca...

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Main Authors: Isotta Cainero, Elena Cerutti, Mario Faretta, Gaetano Ivan Dellino, Pier Giuseppe Pelicci, Alberto Diaspro, Luca Lanzanò
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/6/2010
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author Isotta Cainero
Elena Cerutti
Mario Faretta
Gaetano Ivan Dellino
Pier Giuseppe Pelicci
Alberto Diaspro
Luca Lanzanò
author_facet Isotta Cainero
Elena Cerutti
Mario Faretta
Gaetano Ivan Dellino
Pier Giuseppe Pelicci
Alberto Diaspro
Luca Lanzanò
author_sort Isotta Cainero
collection DOAJ
description Since the introduction of super-resolution microscopy, there has been growing interest in quantifying the nanoscale spatial distributions of fluorescent probes to better understand cellular processes and their interactions. One way to check if distributions are correlated or not is to perform colocalization analysis of multi-color acquisitions. Among all the possible methods available to study and quantify the colocalization between multicolor images, there is image cross-correlation spectroscopy (ICCS). The main advantage of ICCS, in comparison with other co-localization techniques, is that it does not require pre-segmentation of the sample into single objects. Here we show that the combination of structured illumination microscopy (SIM) with ICCS (SIM-ICCS) is a simple approach to quantify colocalization and measure nanoscale distances from multi-color SIM images. We validate the SIM-ICCS analysis on SIM images of optical nanorulers, DNA-origami-based model samples containing fluorophores of different colors at a distance of 80 nm. The SIM-ICCS analysis is compared with an object-based analysis performed on the same samples. Finally, we show that SIM-ICCS can be used to quantify the nanoscale spatial distribution of functional nuclear sites in fixed cells.
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spelling doaj.art-83a6ffc3f8ec45fb8ff1dd4054e7817e2023-11-21T10:14:41ZengMDPI AGSensors1424-82202021-03-01216201010.3390/s21062010Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)Isotta Cainero0Elena Cerutti1Mario Faretta2Gaetano Ivan Dellino3Pier Giuseppe Pelicci4Alberto Diaspro5Luca Lanzanò6Nanoscopy and NIC@IIT, CHT Erzelli, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Building B, 16152 Genoa, ItalyNanoscopy and NIC@IIT, CHT Erzelli, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Building B, 16152 Genoa, ItalyDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20100 Milan, ItalyDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20100 Milan, ItalyDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20100 Milan, ItalyNanoscopy and NIC@IIT, CHT Erzelli, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Building B, 16152 Genoa, ItalyNanoscopy and NIC@IIT, CHT Erzelli, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Building B, 16152 Genoa, ItalySince the introduction of super-resolution microscopy, there has been growing interest in quantifying the nanoscale spatial distributions of fluorescent probes to better understand cellular processes and their interactions. One way to check if distributions are correlated or not is to perform colocalization analysis of multi-color acquisitions. Among all the possible methods available to study and quantify the colocalization between multicolor images, there is image cross-correlation spectroscopy (ICCS). The main advantage of ICCS, in comparison with other co-localization techniques, is that it does not require pre-segmentation of the sample into single objects. Here we show that the combination of structured illumination microscopy (SIM) with ICCS (SIM-ICCS) is a simple approach to quantify colocalization and measure nanoscale distances from multi-color SIM images. We validate the SIM-ICCS analysis on SIM images of optical nanorulers, DNA-origami-based model samples containing fluorophores of different colors at a distance of 80 nm. The SIM-ICCS analysis is compared with an object-based analysis performed on the same samples. Finally, we show that SIM-ICCS can be used to quantify the nanoscale spatial distribution of functional nuclear sites in fixed cells.https://www.mdpi.com/1424-8220/21/6/2010super-resolution microscopystructured illumination microscopySIMimage correlation spectroscopyimage cross-correlation spectroscopyICCS
spellingShingle Isotta Cainero
Elena Cerutti
Mario Faretta
Gaetano Ivan Dellino
Pier Giuseppe Pelicci
Alberto Diaspro
Luca Lanzanò
Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)
Sensors
super-resolution microscopy
structured illumination microscopy
SIM
image correlation spectroscopy
image cross-correlation spectroscopy
ICCS
title Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)
title_full Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)
title_fullStr Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)
title_full_unstemmed Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)
title_short Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)
title_sort measuring nanoscale distances by structured illumination microscopy and image cross correlation spectroscopy sim iccs
topic super-resolution microscopy
structured illumination microscopy
SIM
image correlation spectroscopy
image cross-correlation spectroscopy
ICCS
url https://www.mdpi.com/1424-8220/21/6/2010
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