Method for measurement of collagen monomer orientation in fluorescence microscopy

Rodrigo P. Alzola; Jose Delpiano; Anuj Gajjar; Rickard Stureborg; Seyed Mohammad Siadat; Jeffrey W. Ruberti; Charles A. DiMarzio

doi:10.1117/12.2582586

5 March 2021 Method for measurement of collagen monomer orientation in fluorescence microscopy

Rodrigo P. Alzola, Jose Delpiano, Anuj Gajjar, Rickard Stureborg, Seyed Mohammad Siadat, Jeffrey W. Ruberti, Charles A. DiMarzio

Author Affiliations +

Proceedings Volume 11649, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVIII; 116490V (2021) https://doi.org/10.1117/12.2582586
Event: SPIE BiOS, 2021, Online Only

Abstract

Collagen is one of the most important proteins in mammals, conforming most animal tissues. This work explores how a basic collagen monomer unit is visualized using fluorescence microscopy and how its spatial orientation is determined. Defining the orientation of collagen monomers is not a trivial problem, as the particle has a weak contrast and is relatively small. Possible attach fluorescence tags for contrast, but the size is still a problem for detecting orientation using fluorescence microscopy. This document presents a simulation of the visualization of collagen monomers and two methods for detecting monomer and classifying its orientation. A modify Gabor filter set, and an automatic classifier, trained by convolutional neuronal network (CNN), were used. By evaluating the performance of these two approaches compare to human observation, our results show that it is possible to determine the location and orientation of a single monomer with fluorescence microscopy. These findings can contribute to understanding collagen elements as collagen fibril.

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Rodrigo P. Alzola, Jose Delpiano, Anuj Gajjar, Rickard Stureborg, Seyed Mohammad Siadat, Jeffrey W. Ruberti, and Charles A. DiMarzio "Method for measurement of collagen monomer orientation in fluorescence microscopy", Proc. SPIE 11649, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVIII, 116490V (5 March 2021); https://doi.org/10.1117/12.2582586

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