Advanced Photonics Nexus, Volume. 4, Issue 3, 037001(2025)

CollagenFitJ, a FIJI plugin for the quantification of collagen in polarization-resolved second harmonic generation image sets On the Cover

Radu Hristu1, Farzad Fereidouni2, Stefan G. Stanciu1,3, Lucian G. Eftimie4,5, Oana C. Voinea6,7, Danielis Rutkauskas8, Laura Sironi9, Giuseppe Chirico9, Denis E. Tranca1, Remus R. Glogojeanu5, Alberto Diaspro10,11, and George A. Stanciu1、*
Author Affiliations
  • 1National University of Science and Technology Politehnica Bucharest, Center for Microscopy-Microanalysis and Information Processing, Bucharest, Romania
  • 2Emory University School of Medicine, Department of Pathology and Laboratory Medicine, Atlanta, Georgia, United States
  • 3National University of Science and Technology Politehnica Bucharest, CAMPUS Research Institute, Bucharest, Romania
  • 4Central Military Emergency University Hospital “Dr. Carol Davila”, Department of Pathology, Bucharest, Romania
  • 5National University of Physical Education and Sports, Faculty of Physical Therapy, Bucharest, Romania
  • 6Cantacuzino National Medical-Military Institute for Research and Development, Bucharest, Romania
  • 7“Carol Davila” University of Medicine and Pharmacy, Pathology Department, Faculty of Medicine, Bucharest, Romania
  • 8Center for Physical Sciences and Technology, Vilnius, Lithuania
  • 9Università Degli Studi di Milano-Bicocca, Physics Department, Milan, Italy
  • 10Istituto Italiano di Tecnologia, Nanoscopy and NIC@IIT, Genoa, Italy
  • 11University of Genoa, Department of Physics, Genoa, Italy
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    Figures & Tables(5)
    Exemplary raw PSHG dataset obtained using a laser-scanning PSHG microscope on rat tail tendon and typical outputs from CollagenFitJ. (a) A typical PSHG dataset acquired at polarization angles in steps of 20 deg from 0 to 180 deg. (b) Collagen structure-related images generated using the single-axis molecular model for collagen: FI, CHI3115, CHI3315, CHI3331, and THETA. (c) Fitting assessment images: ERR, SNR, and R2. (d) Dispersion and randomness maps (SD, MAD, and ENT images) displayed only for the FI image, computed using a circular mask with a radius of 5 and a window size of 11.
    Examples of binary collagen masks created for the same PSHG image set as in Fig. 1(a) using the fitting assessment images (ERR, SNR, and R2) by applying different threshold values: 0.1 for ERR, 7 for SNR, and 0.8 for R2 (step 11A in the Supplementary Material). In addition, a custom mask was generated by segmentation of collagen in the average image derived from the entire PSHG stack (step 11B in the Supplementary Material).
    Validation of CollagenFitJ on PSHG image sets from various formalin-fixed paraffin-embedded tissue sections using different techniques and configurations. For each dataset, a PSHG image obtained as the average of the raw PSHG image stack is provided. Also included are the outputs of the CollagenFitJ plugin: collagen structure-related images (FI, CHI3115, CHI3315, CHI3331, and THETA), fitting assessment images (ERR, SNR, and R2), and dispersion and randomness maps (SD, MAD, and ENT) computed for different CollagenFitJ outputs under various settings [Fig. S1(g) in the Supplementary Material] for exemplification. (a) Loose collagen fibrils in rat tail tendon, captured with a custom-modified Leica TCS SP confocal microscope adapted for SHG imaging38" target="_self" style="display: inline;">38 in forward detection. Local statistics images are generated with a radius of 2.5, size 7 circular mask on CHI3331.tif. (b) Follicular thyroid carcinoma nodule capsule, imaged with the same system as in panel (a). Local statistics images are created using a radius of 7.5, size 15 circular mask on THETA.tif. (c) Mouse colon tumor, acquired with a scanning SHG microscope19" target="_self" style="display: inline;">19 using backward detection. Local statistics images are produced with a radius of 5, size 11 circular mask on CHI3115.tif. (d) Rat tail tendon, imaged with a widefield SHG microscope.15" target="_self" style="display: inline;">15 Local statistics images are generated with a radius of 10, size 21 circular mask on CHI3315.tif.
    Validation of CollagenFitJ using in vivo PSHG image sets of B16 melanoma. The PSHG image obtained as the average of the raw PSHG image stack provides an overview of the SHG intensity. Also included are the outputs of the CollagenFitJ plugin: collagen structure-related images (FI, CHI3115, CHI3315, CHI3331, and THETA), fitting assessment images (ERR, SNR, and R2), and dispersion and randomness maps (SD, MAD, and ENT) generated with a radius of 5, size 11 circular mask [Fig. S1(g) in the Supplementary Material] applied to CHI3115.tif.
    • Table 1. CollagenFitJ macro runtimes for 512×512 images depending on the selected options.

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      Table 1. CollagenFitJ macro runtimes for 512×512 images depending on the selected options.

      Time (s)Kernel
      Radius: 0.5; size: 3Radius: 5; size: 11Radius: 10; size: 21
      Local statistics imageSD222.5
      MAD1194140
      ENT212428
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    Radu Hristu, Farzad Fereidouni, Stefan G. Stanciu, Lucian G. Eftimie, Oana C. Voinea, Danielis Rutkauskas, Laura Sironi, Giuseppe Chirico, Denis E. Tranca, Remus R. Glogojeanu, Alberto Diaspro, George A. Stanciu, "CollagenFitJ, a FIJI plugin for the quantification of collagen in polarization-resolved second harmonic generation image sets," Adv. Photon. Nexus 4, 037001 (2025)

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    Paper Information

    Category: Open Code and Data

    Received: Nov. 19, 2024

    Accepted: Mar. 31, 2025

    Published Online: May. 29, 2025

    The Author Email: George A. Stanciu (stanciu@physics.pub.ro)

    DOI:10.1117/1.APN.4.3.037001

    CSTR:32397.14.1.APN.4.3.037001

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