1833a5c4a69eec09cf8e594657f50c2d Pho_a2023v10n6p669.pdf 09ac24349b5cd2e2e23fb2a91a9db3c3d9b1062b Pho_a2023v10n6p669.pdf 7f6a065fe0a8d5e4011004eeb833a94d2089737b9238568104bfb5bfbbb14423 Pho_a2023v10n6p669.pdf Title: Polarimetric Images of Biological Tissues Based on the Arrow Decomposition of Mueller Matrices Subject: Polarimetric techniques are widely used in a vast number of applications such as remote sensing, material characterization, astronomy and biological tissue inspection. In this last scenario, different polarimetric observables have proved their potential for enhancing imaging visualization. In this work we use a set of polarimetric observables derived from the arrow decomposition of the Mueller matrix for the first time: enpolarizing, retarding and depolarizing descriptors. In particular, the mean intensity coefficient and the three indices of polarimetric purity, the absolute values and Poincaré orientations of diattenuation, polarizance, entrance retardance and exit retardance vectors are considered. Results show images with enhanced visualization or even revealing invisible structures when compared to standard intensity images. In particular, thanks to these metrics, we improve the visualization of the necrotic areas of a Vitis rupestris leaf. In the case of animal samples, boundaries between different fascicles inside a tendon of an ex vivo chicken sample are revealed, as is the directionality of fiber tracts of the subcortical white matter in an ex vivo cow brain. The experimental results show the potential for biophotonics imaging and how polarimetric techniques could be useful for biomedical and botanical applications. Keywords: Mueller matrix; polarimetry; diattenuation; polarizance; depolarization; biophotonics Author: José J. Gil, Ignacio San José, Mónica Canabal-Carbia, Irene Estévez, Emilio González-Arnay, Jordi Luque, Teresa Garnatje, Juan Campos and Angel Lizana Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Thu Jun 8 13:12:36 2023 CEST ModDate: Thu Jun 8 13:23:02 2023 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 16 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 4745395 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- UHTNOA+VnURWPalladioL Type 1 Custom yes yes no 10 0 HTHDMT+URWPalladioL-Bold Type 1 Custom yes yes no 15 0 QJZDKC+URWPalladioL-Roma Type 1 Custom yes yes no 20 0 XPZMZH+URWPalladioL-Ital Type 1 Custom yes yes no 24 0 BYZKWY+CMSY10 Type 1 Builtin yes yes no 28 0 ZZTQUO+VnURWPalladioL-Bold Type 1 Custom yes yes no 32 0 WYJSFZ+TimesNewRomanPS-ItalicMT Type 1C WinAnsi yes yes no 51 0 KJITKJ+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 54 0 TGWMMF+CMEX10 Type 1 Builtin yes yes no 79 0 SOSTRQ+CMR10 Type 1 Builtin yes yes no 83 0 LMHIKS+PazoMath-Italic Type 1 Builtin yes yes no 90 0 RLYTRW+CMMI10 Type 1 Builtin yes yes no 94 0 HVSBKL+PazoMath Type 1 Builtin yes yes no 98 0 LCHLDJ+Symbol Type 1C Custom yes yes yes 111 0 LCHMCJ+TimesNewRoman,Italic TrueType WinAnsi yes yes no 116 0 LCHHNJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 119 0 LCHHNL+PalatinoLinotype TrueType WinAnsi yes yes no 122 0 LCHHNN+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 125 0 LCHLDK+Arial CID TrueType Identity-H yes yes yes 128 0 LCHLOH+TimesNewRoman,Bold CID TrueType Identity-H yes yes yes 134 0 LCHMAI+TimesNewRoman CID TrueType Identity-H yes yes yes 140 0 OVNEXW+EURM10 Type 1 Builtin yes yes no 150 0 LCHHNJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 157 0 LCHHNL+PalatinoLinotype TrueType WinAnsi yes yes no 160 0 LCHHNN+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 163 0 LCHLDJ+Symbol Type 1C Custom yes yes yes 179 0 LCHMCJ+TimesNewRoman,Italic TrueType WinAnsi yes yes no 184 0 LCHHNJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 187 0 LCHHNL+PalatinoLinotype TrueType WinAnsi yes yes no 190 0 LCHHNN+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 193 0 LCHLDJ+Symbol Type 1C Custom yes yes yes 200 0 LCHMCJ+TimesNewRoman,Italic TrueType WinAnsi yes yes no 205 0 LCHHNJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 208 0 LCHHNL+PalatinoLinotype TrueType WinAnsi yes yes no 211 0 LCHHNN+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 214 0 LCHLDJ+Symbol Type 1C Custom yes yes yes 224 0 LCHMCJ+TimesNewRoman,Italic TrueType WinAnsi yes yes no 229 0 LCHHNJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 232 0 LCHHNL+PalatinoLinotype TrueType WinAnsi yes yes no 235 0 LCHHNN+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 238 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-03-09 02:34:33 CET RepresentationInformation: Pho_a2023v10n6p669.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-03-08 15:45:43 CET Size: 4745395 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 516 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Item: Title: Theoretical Background Destination: section.2 Item: Title: Arrow-Form-Inspired Parameterization of the Information Contained in aMueller Matrix Destination: section.3 Item: Title: Materials and Methods Destination: section.4 Children: Item: Title: Experimental Setup Description: Complete Image Mueller Matrix Polarimeter Destination: subsection.4.1 Item: Title: Sample Description and Preparation Destination: subsection.4.2 Item: Title: Application of the Mueller Matrix Parameterization to Polarimetric Imaging of Biological Tissues Destination: section.5 Item: Title: Conclusions Destination: section.6 Item: Title: References Destination: section.7 Info: Title: Polarimetric Images of Biological Tissues Based on the Arrow Decomposition of Mueller Matrices Author: José J. Gil, Ignacio San José, Mónica Canabal-Carbia, Irene Estévez, Emilio González-Arnay, Jordi Luque, Teresa Garnatje, Juan Campos and Angel Lizana Subject: Polarimetric techniques are widely used in a vast number of applications such as remote sensing, material characterization, astronomy and biological tissue inspection. In this last scenario, different polarimetric observables have proved their potential for enhancing imaging visualization. In this work we use a set of polarimetric observables derived from the arrow decomposition of the Mueller matrix for the first time: enpolarizing, retarding and depolarizing descriptors. In particular, the mean intensity coefficient and the three indices of polarimetric purity, the absolute values and Poincaré orientations of diattenuation, polarizance, entrance retardance and exit retardance vectors are considered. Results show images with enhanced visualization or even revealing invisible structures when compared to standard intensity images. In particular, thanks to these metrics, we improve the visualization of the necrotic areas of a Vitis rupestris leaf. In the case of animal samples, boundaries between different fascicles inside a tendon of an ex vivo chicken sample are revealed, as is the directionality of fiber tracts of the subcortical white matter in an ex vivo cow brain. The experimental results show the potential for biophotonics imaging and how polarimetric techniques could be useful for biomedical and botanical applications. 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