TY - JOUR
T1 - Measuring nanoscale distances by structured illumination microscopy and image cross-correlation spectroscopy (Sim-iccs)
AU - Cainero, Isotta
AU - Cerutti, Elena
AU - Faretta, Mario
AU - Dellino, Gaetano Ivan
AU - Pelicci, Pier Giuseppe
AU - Diaspro, Alberto
AU - Lanzanò, Luca
N1 - Funding Information:
Funding: The research leading to these results has received funding from Associazione Italiana per la Ricerca sul Cancro (AIRC) under MFAG 2018-ID. 21931 project—P.I. Lanzanò Luca. Part of this work has been developed under the PRIN 20177XJCHX_003, for AD. L.L. acknowledges support from University of Catania under the program Programma Ricerca di Ateneo UNICT 2020-2022-linea 2.
Funding Information:
Acknowledgments: The research leading to these results has received funding from Associazione Italiana per la Ricerca sul Cancro (AIRC) under MFAG 2018-ID. 21931 project—P.I. Lanzanò Luca. Part of this work has been developed under the PRIN 20177XJCHX_003, for AD. L.L. acknowledges support from University of Catania under the program Programma Ricerca di Ateneo UNICT 2020-2022-linea 2.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/3/2
Y1 - 2021/3/2
N2 - 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 tech-niques, 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.
AB - 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 tech-niques, 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.
KW - Colocalization
KW - ICCS
KW - Image correlation spectroscopy
KW - Image cross-correlation spectroscopy
KW - SIM
KW - Structured illumination microscopy
KW - Super-resolution microscopy
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UR - http://www.scopus.com/inward/citedby.url?scp=85102378768&partnerID=8YFLogxK
U2 - 10.3390/s21062010
DO - 10.3390/s21062010
M3 - Article
C2 - 33809144
AN - SCOPUS:85102378768
SN - 1424-3210
VL - 21
SP - 1
EP - 13
JO - Sensors
JF - Sensors
IS - 6
M1 - 2010
ER -