TY - JOUR
T1 - Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy
T2 - Textural or Pointillist Feature Space?
AU - Ahmad, Ali
AU - Frindel, Carole
AU - Rousseau, David
N1 - Funding Information:
The authors acknowledge Mark Niel from Imperial College of London UK, Alessio Zippo from University of Trento Italy, and Arnaud Chevrollier from University of Angers France for providing the illustrational real images of Figures 1, 2. Funding. This work has been funded by project EU H2020 FET Open, PROCHIP, Chromatin organization PROfiling with high-throughput super-resolution microscopy on a CHIP, grant agreement no. 801336 (https://pro-chip.eu/).
Publisher Copyright:
© Copyright © 2020 Ahmad, Frindel and Rousseau.
PY - 2020/5/22
Y1 - 2020/5/22
N2 - We consider the detection of change in spatial distribution of fluorescent markers inside cells imaged by single cell microscopy. Such problems are important in bioimaging since the density of these markers can reflect the healthy or pathological state of cells, the spatial organization of DNA, or cell cycle stage. With the new super-resolved microscopes and associated microfluidic devices, bio-markers can be detected in single cells individually or collectively as a texture depending on the quality of the microscope impulse response. In this work, we propose, via numerical simulations, to address detection of changes in spatial density or in spatial clustering with an individual (pointillist) or collective (textural) approach by comparing their performances according to the size of the impulse response of the microscope. Pointillist approaches show good performances for small impulse response sizes only, while all textural approaches are found to overcome pointillist approaches with small as well as with large impulse response sizes. These results are validated with real fluorescence microscopy images with conventional resolution. This, a priori non-intuitive result in the perspective of the quest of super-resolution, demonstrates that, for difference detection tasks in single cell microscopy, super-resolved microscopes may not be mandatory and that lower cost, sub-resolved, microscopes can be sufficient.
AB - We consider the detection of change in spatial distribution of fluorescent markers inside cells imaged by single cell microscopy. Such problems are important in bioimaging since the density of these markers can reflect the healthy or pathological state of cells, the spatial organization of DNA, or cell cycle stage. With the new super-resolved microscopes and associated microfluidic devices, bio-markers can be detected in single cells individually or collectively as a texture depending on the quality of the microscope impulse response. In this work, we propose, via numerical simulations, to address detection of changes in spatial density or in spatial clustering with an individual (pointillist) or collective (textural) approach by comparing their performances according to the size of the impulse response of the microscope. Pointillist approaches show good performances for small impulse response sizes only, while all textural approaches are found to overcome pointillist approaches with small as well as with large impulse response sizes. These results are validated with real fluorescence microscopy images with conventional resolution. This, a priori non-intuitive result in the perspective of the quest of super-resolution, demonstrates that, for difference detection tasks in single cell microscopy, super-resolved microscopes may not be mandatory and that lower cost, sub-resolved, microscopes can be sufficient.
KW - classification
KW - fluorescence
KW - microscopy
KW - point spread function
KW - spot detection
KW - texture
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U2 - 10.3389/frobt.2020.00039
DO - 10.3389/frobt.2020.00039
M3 - Article
AN - SCOPUS:85099316857
SN - 2296-9144
VL - 7
JO - Frontiers in Robotics and AI
JF - Frontiers in Robotics and AI
M1 - 39
ER -