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Research ArticleOpen Source Tools and Methods, Novel Tools and Methods

FASTMAP: Open-Source Flexible Atlas Segmentation Tool for Multi-Area Processing of Biological Images

Dylan J. Terstege, Daniela O. Oboh and Jonathan R. Epp
eNeuro 28 February 2022, 9 (2) ENEURO.0325-21.2022; DOI: https://doi.org/10.1523/ENEURO.0325-21.2022
Dylan J. Terstege
Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1, Canada
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Daniela O. Oboh
Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1, Canada
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Jonathan R. Epp
Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1, Canada
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Figures

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  • Figure 1.
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    Figure 1.

    A tool for the flexible atlas registration of biological images and brain-wide mapping of a label of interest. When running the analysis pipeline, the user is presented with the opportunity to limit the range of images and to define whether to count labels of interest or apply a densitometry-based approach (A). The user will then be prompted to select which atlas plate most closely aligns with the image they are currently registering (B, thumbnail reference atlas images credited to the Allen Institute and the Allen Mouse Brain Atlas; Lein et al., 2007). The selected atlas plate then loads over the target image and individual regions resize sequentially to suit size of the target image (C). Regions are manually moved and adjusted to align with the target image (D). Once the alignment is correct, the registration is then applied to a binarized label of interest, in this case c-Fos-expressing cells (E). The regional density of c-Fos-expressing cells (F), the number of c-Fos-expressing cells (G), and the area of each region (H) can all be obtained as outputs using this analysis type. For program source code and user guides, see Extended Data 1.

    Figure Contributions: Dylan J. Terstege prepared the tissue, collected photomicrographs, and conducted the analysis.

  • Figure 2.
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    Figure 2.

    DAPI provides sufficient contrast for accurate and reliable neuroanatomical registration. A, Representative photomicrograph of parvalbumin and DAPI staining from a coronal section of adult mouse brain. Overlay shows traced regions for each channel (parvalbumin = cyan, DAPI = magenta) B, The thalamic reticular nucleus was traced across multiple sections based on parvalbumin (cyan) and DAPI (magenta) labeling. C, There were no significant differences in area measurements of thalamic reticular nuclei traced from each imaging channel. D, Areas traced using DAPI labeling as a reference overlapped with areas traced based on parvalbumin labeling by an average of 96.66%, with a range of 6.172% (92.84–99.012%). E, Using a DAPI channel, independent raters (n = 4) used FASTMAP to record the areas of the amygdalar areas (AMY), hippocampal formation (HPF), hypothalamus (HY), isocortex (ISO), midbrain (MB), olfactory cortex (OLF), pallidum (PAL), striatum (STR), and thalamus (TH) from a subset of images (n = 2–5 per area) across an adult mouse brain. The extent to which the individual tracings overlapped with a summed composite trace was calculated to have median values of 93.83% for AMY, 92.85% for HPF, 92.07% for HY, 94.41% for ISO, 95.46% for MB, 91.82% for OLF, 89.41% for PAL, 92.34% for STR, and 93.89% for TH. Areas recorded from these tracings, summed across images for each region (F–N), did not differ from areas collected using the commercial registration tool NeuroInfo. Representative NeuroInfo registrations (colored outlines) and FASTMAP registrations (white outlines) are provided for each region. Representative FASTMAP registrations were selected for visualization based on which of the independent raters produced a summed area measurement (across all regions) closest to the median value among independent raters. The measurement that corresponds to the sample trace is indicated in each plot with an octothorpe (#). Data presented as individual matched datapoints (C), median ± max/min (D, E), and mean ± 95%CI (F–N).

    Figure Contributions: Dylan J. Terstege prepared the tissue, collected photomicrographs, and conducted the analysis.

  • Figure 3.
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    Figure 3.

    Assessing regional density of brain vasculature. Representative photomicrographs of vasculature in the adult mouse brain (A) and the dentate gyrus (B). FITC-perfused vasculature is labeled in cyan, while propidium iodide is displayed in magenta. Vasculature was segmented from background and binarized using Ilastik (C, D). The image was registered to a custom atlas plate consisting of the isocortex (ISO), hippocampus (HPF), amygdala (AMY), olfactory bulbs (OLF), pallidum (PAL), cerebellum (CB), midbrain (MB), striatum (STR), thalamus (TH), hypothalamus (HY), medulla (MY), and hindbrain (HB; E). Using a densitometry-based analysis approach, the regional density of vasculature was determined as a percentage of the overall region area (F).

    Figure Contributions: Dylan J. Terstege prepared the tissue, collected photomicrographs, and conducted the analysis.

  • Figure 4.
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    Figure 4.

    Mapping of age-related changes in amyloid plaque deposition density. Representative photomicrographs of amyloid pathology in 3-month-old (A), 5-month-old (B), and 10-month-old (C) CRND8 mice. Propidium iodide is displayed in magenta while the fluorescently labeled β-amyloid is labeled in cyan. D, Amyloid density across the isocortex (ISO), hippocampus (HPF), amygdala (AMY), olfactory bulbs (OLF), pallidum (PAL), cerebellum (CB), midbrain (MB), striatum (STR), thalamus (TH), hypothalamus (HY), medulla (MY), and hindbrain (HB). High-resolution photomicrographs of the somatosensory cortex (E–G) and the reticular nucleus of the thalamus (H–J) further illustrate differences in amyloid pathology progression at 3 (E, H), 5 (F, I), and 10 (G, J) months. Data presented as mean ± SEM.

    Figure Contributions: Dylan J. Terstege prepared the tissue, collected photomicrographs, and conducted the analysis.

  • Figure 5.
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    Figure 5.

    Compatibility of the registration tool with different tissue types, sample preparations, and imaging planes. Application of the registration tool to coronally sectioned adult mouse tissue (A), sagittally sectioned adult mouse tissue (B), horizontally sectioned adult mouse tissue (C), coronally sectioned tissue blocks of adult mouse tissue (D), and uDISCO-cleared e16 mouse embryo (E). Figure Contributions: Dylan J. Terstege prepared the tissue and collected the photomicrographs. Daniela O. Oboh prepared the custom atlas plates.

Tables

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    Table 1

    Regions included in the described lower-level atlases

    AbbreviationRegionAbbreviationRegion
    AMYAmygdalaMBMidbrain
    CBCerebellumMYMedulla
    HBHindbrainOLFOlfactory bulbs
    HPFHippocampal
    formation
    PALPallidum
    HYHypothalamusSTRStriatum
    ISOIsocortexTHThalamus
    • List of the 12 regions and their associated abbreviations which were included in the custom lower-level neuroanatomical atlases.

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    Table 2

    Regions included in the described higher-level atlases

    AbbreviationRegionAbbreviationRegion
    ACAAnterior cingulate areaPAGPeriaqueductal gray
    ACBNucleus accumbensPALcCaudal pallidum
    AHNAnterior hypothalamic nucleusPALmMedial pallidum
    AONAnterior olfactory nucleusPALvVentral pallidum
    ATNAnterior dorsal thalamusPCGPontine central gray
    CA1Field CA1PGPontine gray
    CA2Field CA2PHPosterior hypothalamus
    CA3Field CA3PHYPerihypoglossal nucleus
    DGDentate gyrusPMdDorsal premammilary
    DMHDorsomedial hypothalamusPMvVentral premammilary
    DMXDorsal motor nucleus of the vagus nervePRNPontine reticular nucleus
    EPIEpithalamusPRTPretectal region
    FNFastigial nucleusPVHParaventricular hypothalamus
    FRPFrontal poleRCHRetrochiasmatic area
    GRNGigantocellular reticular nucleusRNRed nucleus
    ICInferior colliculusRSPRetrosplenial cortex
    ILMIntralaminar nucleusRTReticular nucleus of the thalamus
    IOInferior olivary complexSCmMotor superior colliculus
    IRNIntermediate reticular nucleusSCsSensory superior colliculus
    LDTLaterodorsal tegmental nucleusSFSeptofimbrial nucleus
    LSLateral septumSOCSuperior olivary complex
    MARNMagnocellular reticular nucleusSPFSubparafascicular nucleus
    MDRNMedullary reticular nucleusSUBSubiculum
    MEDMedial dorsal thalamusTRNTegmental reticular nucleus
    MOSomatomotor areasTTTaenia tecta
    MOBMain olfactory bulbVENTVentral group of the dorsal thalamus
    MPNMedial preoptic nucleusVERMVermal regions
    MPOMedial preoptic areaVIAbducens nucleus
    MRNMidbrain reticular nucleusVMHVentromedial hypothalamic nucleus
    NTSNucleus of the solitary tractVNCVestibular nuclei
    ORBOrbital areaVTAVentral tegmental area
    OTOlfactory tubercle
    • List of the 63 regions and their associated abbreviations which were included in the custom higher-level neuroanatomical atlases.

Extended Data

  • Figures
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  • Extended Data 1

    FASTMAP user guide. Full FASTMAP user guide posted to the GitHub repository, at https://github.com/dterstege/FASTMAP. Download Extended Data 1. Download Extended Data 1, ZIP file.

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FASTMAP: Open-Source Flexible Atlas Segmentation Tool for Multi-Area Processing of Biological Images
Dylan J. Terstege, Daniela O. Oboh, Jonathan R. Epp
eNeuro 28 February 2022, 9 (2) ENEURO.0325-21.2022; DOI: 10.1523/ENEURO.0325-21.2022

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FASTMAP: Open-Source Flexible Atlas Segmentation Tool for Multi-Area Processing of Biological Images
Dylan J. Terstege, Daniela O. Oboh, Jonathan R. Epp
eNeuro 28 February 2022, 9 (2) ENEURO.0325-21.2022; DOI: 10.1523/ENEURO.0325-21.2022
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