DOI: 10.5061/dryad.b2rbnzsq4
title: Dataset: Segmentation of cortical bone, trabecular bone, and medullary pores from micro-CT images using 2D and 3D deep learning models

description: Computed tomography (CT) enables rapid imaging of large-scale studies of
 bone, but those datasets typically require manual segmentation, which is
 time-consuming and prone to error.  Convolutional neural networks
 (CNNs) offer an automated solution, achieving superior performance on
 image data.  Here, we used CNNs to train segmentation models from
 scratch on 2D and 3D patches from micro-CT scans of otter long
 bones.  These new models, collectively called BONe (Bone One-shot
 Network), aimed to be fast and accurate, and we expected enhanced results
 from 3D training due to better spatial context.  Our results
 showed that 3D training required substantially more memory. 
 Contrary to expectations, 2D models performed slightly better than 3D
 models in labeling details such as thin trabecular bone. 
 Although lacking in some detail, 3D models appeared to generalize better
 and predict smoother internal surfaces than 2D models.  However,
 the massive computational costs of 3D models limit their scalability and
 practicality, leading us to recommend 2D models for bone
 segmentation.  BONe models showed potential for broader
 applications with variation in performance across species and scan
 quality.  Notably, BONe models demonstrated promising results on
 skull segmentation, suggesting their potential utility beyond long bones
 with further refinement and fine-tuning.
description: <strong>Materials</strong> Limb
 bones from the North American river otter (<em>Lontra
 canadensis</em>) were borrowed from four museums — OMNH (SNM): Sam
 Noble Oklahoma Museum of Natural History (Norman Oklahoma); UAM:
 University of Alaska Museum of the North (Fairbanks, Alaska); and UF:
 Florida Museum of Natural History (Gainesville, Florida); UWBM (BM): Burke
 Museum of Natural History and Culture (Seattle, Washington).  In total,
 the sample consisted of 38 elements (humerus, radius, ulna, femur, tibia,
 and fibula) from nine individuals. 
 
 <strong>Specimen</strong> 
 <strong>kV</strong> 
 <strong>µA</strong> 
 <strong>Filter</strong>
 <strong>Res.
 (µm)</strong> 
 <strong>Provenance</strong> 
 <strong>Sex</strong> 
 <strong>Side</strong>
 
 <strong>Element</strong> 
 <strong>Group</strong>
 OMNH
 44262 160 
 312 
 Copper 49.99
 Tennessee 
 F R
 Humerus 
 Fitting 
    
   
    
   
   L
 Radius 
 Fitting 
    
   
    
   
   L
 Ulna 
 Fitting 
 OMNH 53994 
 160 312
 Copper 
 49.99 
 Tennessee M
 L 
 Femur Fitting
  
   
    
   
    
 L 
 Fibula 
 Fitting 
    
   
    
   
   L
 Humerus 
 Testing 
    
   
    
   
   R
 Radius 
 Testing 
    
   
    
   
   L
 Tibia 
 Fitting 
    
   
    
   
   R
 Ulna 
 Testing 
 UAM 24789 160
 312 
 Copper 49.99
 Alaska 
 M R
 Femur 
 Testing 
    
   
    
   
   R
 Fibula 
 Testing 
    
   
    
   
   R
 Tibia 
 Testing 
 UAM 67696 90
 556 
 None 49.99
 Alaska 
 F L
 Femur 
 Fitting 
    
   
    
   
   L
 Humerus 
 Fitting 
   160
 312 
 Copper 49.99
   
   L
 Fibula 
 Fitting 
   160
 312 
 Copper  
   
   L
 Radius 
 Fitting 
   160
 312 
 Copper  
   
   L
 Tibia 
 Fitting 
   160
 312 
 Copper  
   
   L
 Ulna 
 Fitting 
 UF 23593 79
 633 
 None 49.99
 Florida 
 M L
 Femur 
 Fitting 
    
   
    
   
   L
 Humerus 
 Fitting 
 UF 24550 79
 633 
 None 49.99
 Florida 
 F L
 Femur 
 Fitting 
    
   
    
   
   L
 Humerus 
 Fitting 
   160
 312 
 Copper 49.99
   
   L
 Fibula 
 Fitting 
    
   
    
   
   L
 Radius 
 Fitting 
    
   
    
   
   L
 Tibia 
 Fitting 
    
   
    
   
   L
 Ulna 
 Fitting 
 UF 31151 160
 312 
 Copper 49.99
 Florida 
 M R
 Humerus 
 Fitting 
    
   
    
   
   R
 Radius 
 Fitting 
    
   
    
   
   R
 Ulna 
 Fitting 
 UWBM 78743 
 160 312
 Copper 
 49.99 
 Washington F
 R 
 Femur Fitting
  
   
    
   
    
 L 
 Fibula 
 Fitting 
    
   
    
   
   L
 Tibia 
 Fitting 
 UWBM 81969 
 160 312
 Copper 
 49.99 
 Washington M
 R 
 Femur Testing
  
   
    
   
    
 L 
 Fibula 
 Testing 
    
   
    
   
   L
 Humerus 
 Testing 
    
   
    
   
   R
 Radius 
 Testing 
    
   
    
   
   L
 Tibia 
 Testing 
    
   
    
   
   R
 Ulna 
 Testing 
 <strong>Imaging</strong>
 Bones were scanned at the University of Arkansas MICRO lab using
 a Nikon XTH 225 ST.  Scans were performed in sets of 2-4 bones.  Scan
 settings are included in the preceding table.  Of the 12 sets, eight were
 used for training/validation and four were reserved for blind
 testing. <strong>Reference
 segmentation</strong> Reference segmentations
 were prepared using Avizo 3D 2024.1 (Thermo Fisher Scientific, Waltham,
 MA, USA).  The 16-bit grayscale contrast of each volume was improved using
 the “Sigmoid Intensity Remapping” operation set to 3D mode.  Bone tissue
 was initially segmented using the “Auto Thresholding” module (default
 settings) and manually inspected for mislabeling.  Trabecular bone that
 was missed by auto thresholding was added to the bone tissue segmentation
 using the “Top Hat” filter.  Medullary spaces and large vascular canals
 (hereafter referred to as “pores”) were isolated using the 3D ray tracing
 “Compute Ambient Occlusion” operation on the bone segmentation. 
 Trabecular bone was segmented following the “shrink-wrap” approach of
 Herbst et al. (2021).  Briefly, this approach creates a masking volume
 that circumscribes major pores.  Bone tissue within this mask volume is
 classified as trabecular bone, whereas bone tissue outside the volume is
 classified as cortical bone.  Image preparation culminated in two sets of
 reference data for each volume: the first with labels for bone tissue and
 pores (BP); and the second with labels for cortical bone, trabecular bone,
 and pores (CTP). <strong>Fitting the deep
 learning models</strong> Several deep learning
 models were fitted using Avizo 3D with TensorFlow (Google, Mountain View,
 California) as the backend.  The architecture of each model was pre-built
 consisting of a U-Net convolutional neural network with a ResNet-18
 encoder.  We fitted models separately on 2D (e.g., single slice) and 3D
 (e.g., volumetric) data.  We also fitted models to segment bone and
 medullary pores separately from those to segment cortical bone, trabecular
 bone, and medullary pores.  Each model was pre-trained on UWBM 78743 and
 subsequently fine-tuned on a larger composite dataset containing several
 specimens.  Note: a pre-trained model represents an intermediate stage in
 fitting that we share for data transparency.  The fine-tuned model is
 finalized and ready for general use. <strong>List
 of 2D models</strong> Abbreviations: B = bone; P
 = medullary pores; C = cortical bone; T = trabecular
 bone<br><strong>Bold</strong> = finalized
 model 
 
 <strong>Name</strong> 
 <strong>Training stage</strong> 
 
 <strong>Segmentation goal</strong>
 
 BP-2D-02 
 Pre-train Bone
 tissue and medullary pores 
 
 <strong>BP-2D-02a</strong> 
 
 Fine-tune Bone
 tissue and medullary pores 
 
 CTP-2D-02 
 Pre-train 
 Cortical bone, trabecular bone, medullary pores
 
 <strong>CTP-2D-02a</strong> 
 
 Fine-tune 
 Cortical bone, trabecular bone, medullary pores
 
 <strong>List of 3D models</strong>
 Abbreviations: B = bone; P = medullary pores; C = cortical bone;
 T = trabecular bone<br><strong>Bold</strong> = finalized
 model 
 
 <strong>Name</strong> 
 <strong>Training stage</strong> 
 
 <strong>Segmentation goal</strong>
 
 BP-3D-02 
 Pre-train Bone
 tissue and medullary pores 
 
 <strong>BP-3D-02a</strong> 
 
 Fine-tune Bone
 tissue and medullary pores 
 
 CTP-3D-02 
 Pre-train 
 Cortical bone, trabecular bone, medullary pores
 
 <strong>CTP-3D-02a</strong> 
 
 Fine-tune 
 Cortical bone, trabecular bone, medullary pores
description: # Dataset: Segmentation of cortical bone, trabecular bone, and medullary
 pores from micro-CT images using 2D and 3D deep learning models
 [https://doi.org/10.5061/dryad.b2rbnzsq4](https://doi.org/10.5061/dryad.b2rbnzsq4) Introduction: The following document outlines the structure of data repository. “_composite.zip” contains separate folders for the raw micro-CT slices and CTP labels used for model fitting.  Because Avizo’s deep learning segmentation module can only load a single pair of data files (i.e., one file consists of the raw slices and the second file consists of the labels), we appended the samples used for fitting into a composite sample. “_Models.zip” contains the deep learning models for bone-pore and cortical-trabecular-pores segmentation.  Model files are intended for use in the commercial software Avizo/Amira but are compatible with a variety of both open source and commercial software (e.g., TensorFlow or Comet Dragonfly).  Files consist of model weights (HDF5 format), network architecture (JSON format), and processing code (PY format). “_Scripts.zip” contains the Avizo script files to compare overlap accuracy between reference and predicted segmentations (IoU Score).  The script is installed by copying the two files into Avizo/Amira’s “share/script-objects” folder before starting Avizo/Amira.  Once installed, the script (IOUScore) can be found in the menu of modules under the Compute category.\ **[UPDATE: 3/4/2025]** We coded a new version of the IoU Score script (TorchCUDA IoU).  It leverages PyTorch and a CUDA compatible GPU if present allowing class-wise IoUs and overall mean IoU to be calculated in under 1 minute on most scans.  The new script is installed by copying the two files (IoUScoreTorchCUDA.pyscro and IoUScoreTorchCUDA.rc) into Avizo/Amira’s “share/python_script_objects” folder before starting Avizo/Amira.  Once installed, the new script can be found in the menu of modules under the Python Scripts category. **[end UPDATE]** The remaining zip files contain raw slice data (.tif), scanning metadata (.xtekct & .info that can be opened by a text editor), and reference and predicted segmentations (.tif) for each of the 12 volumes in the deep learning sample.  Samples used for training and validation are stored in the “Fitting” folder, whereas samples used for independent evaluation of models are stored in the “Testing” folder.  To maintain data transparency, minor background artifacts were not removed from predicted segmentations to accurately represent model output. ## Directory of file structure **_composite.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **_composite**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- composite_.info\ \|- |- |- |- |- composite_0000.tif\ \|- |- |- |- |- composite_XXXX.tif\ \|- |- |- |- |- composite_7679.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- composite_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- composite_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- composite_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- composite_cort-trab-pores-label_v2_7679.tif   **_Models.zip**\ \|- **BP-2D-02**\ \|- |- BP-2D-02.hdf5\ \|- |- BP-2D-02.json\ \|- |- BP-2D-02.py\ \|- **BP-2D-02a**\ \|- |- BP-2D-02a.hdf5\ \|- |- BP-2D-02a.json\ \|- |- BP-2D-02a.py\ \|- **BP-3D-02**\ \|- |- BP-3D-02.hdf5\ \|- |- BP-3D-02.json\ \|- |- BP-3D-02.py\ \|- **BP-3D-02a**\ \|- |- BP-3D-02a.hdf5\ \|- |- BP-3D-02a.json\ \|- |- BP-3D-02a.py\ \|- **CTP-2D-02**\ \|- |- CTP-2D-02.hdf5\ \|- |- CTP-2D-02.json\ \|- |- CTP-2D-02.py\ \|- **CTP-2D-02a**\ \|- |- CTP-2D-02a.hdf5\ \|- |- CTP-2D-02a.json\ \|- |- CTP-2D-02a.py\ \|- **CTP-3D-02**\ \|- |- CTP-3D-02.hdf5\ \|- |- CTP-3D-02.json\ \|- |- CTP-3D-02.py\ \|- **CTP-3D-02a**\ \|- |- CTP-3D-02a.hdf5\ \|- |- CTP-3D-02a.json\ \|- |- CTP-3D-02a.py   **_Scripts.zip**\ \|- IOUScore.rc\ \|- IOUScore.scro\ \|- IOUScoreTorchCUDA.rc\ \|- IOUScoreTorchCUDA.scro   **BM_78743_FTFi.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **BM_78743_FTFi**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_BM_78743_FTFi.xtekct\ \|- |- |- |- |- BM_78743_FTFi_.info\ \|- |- |- |- |- BM_78743_FTFi_0000.tif\ \|- |- |- |- |- BM_78743_FTFi_XXXX.tif\ \|- |- |- |- |- BM_78743_FTFi_2047.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_BM_78743_FTFi.xtekct\ \|- |- |- |- |- BM_78743_FTFi_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- BM_78743_FTFi_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- BM_78743_FTFi_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- BM_78743_FTFi_cort-trab-pores-label_v2_2047.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_BM_78743_FTFi.xtekct\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-2D-02a_.info\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-2D-02a_2047.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_BM_78743_FTFi.xtekct\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-3D-02a_.info\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_BP-3D-02a_2047.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_BM_78743_FTFi.xtekct\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-2D-02a_.info\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-2D-02a_2047.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_BM_78743_FTFi.xtekct\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-3D-02a_.info\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- BM_78743_FTFi_predict_CTP-3D-02a_2047.tif **BM_81969_FTFi.zip**\ \|- **Data**\ \|- |- **Testing**\ \|- |- |- **BM_81969_FTFi**\ \|- |- |- |- \_**Raw**\ \|- |- |- |- |- \_BM_81969_FTFi.xtekct\ \|- |- |- |- |- BM_81969_FTFi_.info\ \|- |- |- |- |- BM_81969_FTFi_0000.tif\ \|- |- |- |- |- BM_81969_FTFi_XXXX.tif\ \|- |- |- |- |- BM_81969_FTFi_2194.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_BM_81969_FTFi.xtekct\ \|- |- |- |- |- BM_81969_FTFi_cort-trab-pores-label_.info\ \|- |- |- |- |- BM_81969_FTFi_cort-trab-pores-label_0000.tif\ \|- |- |- |- |- BM_81969_FTFi_cort-trab-pores-label_XXXX.tif\ \|- |- |- |- |- BM_81969_FTFi_cort-trab-pores-label_2194.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_BM_81969_FTFi.xtekct\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-2D-02a_.info\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-2D-02a_2194.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_BM_81969_FTFi.xtekct\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-3D-02a_.info\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_BP-3D-02a_2194.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_BM_81969_FTFi.xtekct\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-2D-02a_.info\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-2D-02a_2194.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_BM_81969_FTFi.xtekct\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-3D-02a_.info\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_FTFi_predict_CTP-3D-02a_2194.tif   **BM_81969_HRU.zip**\ \|- **Data**\ \|- |- **Testing**\ \|- |- |- **BM_81969_HRU**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_BM_81969_HRU.xtekct\ \|- |- |- |- |- BM_81969_HRU_.info\ \|- |- |- |- |- BM_81969_HRU_0000.tif\ \|- |- |- |- |- BM_81969_HRU_XXXX.tif\ \|- |- |- |- |- BM_81969_HRU_1994.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_BM_81969_HRU.xtekct\ \|- |- |- |- |- BM_81969_HRU_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- BM_81969_HRU_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- BM_81969_HRU_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- BM_81969_HRU_cort-trab-pores-label_v2_1994.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_BM_81969_HRU.xtekct\ \|- |- |- |- |- BM_81969_HRU_predict_BP-2D-02a_.info\ \|- |- |- |- |- BM_81969_HRU_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- BM_81969_HRU_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_HRU_predict_BP-2D-02a_1994.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_BM_81969_HRU.xtekct\ \|- |- |- |- |- BM_81969_HRU_predict_BP-3D-02a_.info\ \|- |- |- |- |- BM_81969_HRU_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- BM_81969_HRU_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_HRU_predict_BP-3D-02a_1994.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_BM_81969_HRU.xtekct\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-2D-02a_.info\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-2D-02a_1994.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_BM_81969_HRU.xtekct\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-3D-02a_.info\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- BM_81969_HRU_predict_CTP-3D-02a_1994.tif   **SNM_44262_HRU.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **SNM_44262_HRU**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_SNM_44262_HRU.xtekct\ \|- |- |- |- |- SNM_44262_HRU_.info\ \|- |- |- |- |- SNM_44262_HRU_0000.tif\ \|- |- |- |- |- SNM_44262_HRU_XXXX.tif\ \|- |- |- |- |- SNM_44262_HRU_1535.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_SNM_44262_HRU.xtekct\ \|- |- |- |- |- SNM_44262_HRU_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- SNM_44262_HRU_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- SNM_44262_HRU_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- SNM_44262_HRU_cort-trab-pores-label_v2_1535.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_SNM_44262_HRU.xtekct\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-2D-02a_.info\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-2D-02a_1535.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_SNM_44262_HRU.xtekct\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-3D-02a_.info\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_BP-3D-02a_1535.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_SNM_44262_HRU.xtekct\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-2D-02a_.info\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-2D-02a_1535.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_SNM_44262_HRU.xtekct\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-3D-02a_.info\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- SNM_44262_HRU_predict_CTP-3D-02a_1535.tif   **SNM_53994_FTFi.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **SNM_53994_FTFi**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_SNM_53994_FTFi.xtekct\ \|- |- |- |- |- SNM_53994_FTFi_.info\ \|- |- |- |- |- SNM_53994_FTFi_0000.tif\ \|- |- |- |- |- SNM_53994_FTFi_XXXX.tif\ \|- |- |- |- |- SNM_53994_FTFi_2175.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_SNM_53994_FTFi.xtekct\ \|- |- |- |- |- SNM_53994_FTFi_cort-trab-pores-label_v2a_.info\ \|- |- |- |- |- SNM_53994_FTFi_cort-trab-pores-label_v2a_0000.tif\ \|- |- |- |- |- SNM_53994_FTFi_cort-trab-pores-label_v2a_XXXX.tif\ \|- |- |- |- |- SNM_53994_FTFi_cort-trab-pores-label_v2a_2175.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_SNM_53994_FTFi.xtekct\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-2D-02a_.info\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-2D-02a_2175.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_SNM_53994_FTFi.xtekct\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-3D-02a_.info\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_BP-3D-02a_2175.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_SNM_53994_FTFi.xtekct\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-2D-02a_.info\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-2D-02a_2175.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_SNM_53994_FTFi.xtekct\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-3D-02a_.info\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_FTFi_predict_CTP-3D-02a_2175.tif   **SNM_53994_HRU.zip**\ \|- **Data**\ \|- |- **Testing**\ \|- |- |- **SNM_53994_HRU**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_SNM_53994_HRU.xtekct\ \|- |- |- |- |- SNM_53994_HRU_.info\ \|- |- |- |- |- SNM_53994_HRU_0000.tif\ \|- |- |- |- |- SNM_53994_HRU_XXXX.tif\ \|- |- |- |- |- SNM_53994_HRU_1808.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_SNM_53994_HRU.xtekct\ \|- |- |- |- |- SNM_53994_HRU_cort-trab-pores-label_.info\ \|- |- |- |- |- SNM_53994_HRU_cort-trab-pores-label_0000.tif\ \|- |- |- |- |- SNM_53994_HRU_cort-trab-pores-label_XXXX.tif\ \|- |- |- |- |- SNM_53994_HRU_cort-trab-pores-label_1808.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_SNM_53994_HRU.xtekct\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-2D-02a_.info\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-2D-02a_1808.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_SNM_53994_HRU.xtekct\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-3D-02a_.info\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_BP-3D-02a_1808.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_SNM_53994_HRU.xtekct\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-2D-02a_.info\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-2D-02a_1808.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_SNM_53994_HRU.xtekct\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-3D-02a_.info\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- SNM_53994_HRU_predict_CTP-3D-02a_1808.tif   **UAM_24789_FTFi.zip**\ \|- **Data**\ \|- |- **Testing**\ \|- |- |- **UAM_24789_FTFi**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_UAM_24789_FTFi.xtekct\ \|- |- |- |- |- UAM_24789_FTFi_.info\ \|- |- |- |- |- UAM_24789_FTFi_0000.tif\ \|- |- |- |- |- UAM_24789_FTFi_XXXX.tif\ \|- |- |- |- |- UAM_24789_FTFi_2097.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_UAM_24789_FTFi_HF.xtekct\ \|- |- |- |- |- UAM_24789_FTFi_cort-trab-pores-label \_.info\ \|- |- |- |- |- UAM_24789_FTFi_cort-trab-pores-label_0000.tif\ \|- |- |- |- |- UAM_24789_FTFi_cort-trab-pores-label_XXXX.tif\ \|- |- |- |- |- UAM_24789_FTFi_cort-trab-pores-label_2097.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_UAM_24789_FTFi.xtekct\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-2D-02a_.info\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-2D-02a_2097.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_UAM_24789_FTFi.xtekct\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-3D-02a_.info\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- UAM_24789_FTFi_predict_BP-3D-02a_2097.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_UAM_24789_FTFi.xtekct\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-2D-02a_.info\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-2D-02a_2097.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_UAM_24789_FTFi.xtekct\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-3D-02a_.info\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-3D-02a_0000.tif|\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- UAM_24789_FTFi_predict_CTP-3D-02a_2097.tif   **UAM_67696_HF.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **UAM_67696_HF**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_UAM_67696_HF.xtekct\ \|- |- |- |- |- UAM_67696_HF_.info\ \|- |- |- |- |- UAM_67696_HF_0000.tif\ \|- |- |- |- |- UAM_67696_HF_XXXX.tif\ \|- |- |- |- |- UAM_67696_HF_1535.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_UAM_67696_HF.xtekct\ \|- |- |- |- |- UAM_67696_HF_cort-trab-pores-label_v2a_.info\ \|- |- |- |- |- UAM_67696_HF_cort-trab-pores-label_v2a_0000.tif\ \|- |- |- |- |- UAM_67696_HF_cort-trab-pores-label_v2a_XXXX.tif\ \|- |- |- |- |- UAM_67696_HF_cort-trab-pores-label_v2a_1535.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_UAM_67696_HF.xtekct\ \|- |- |- |- |- UAM_67696_HF_predict_BP-2D-02a_.info\ \|- |- |- |- |- UAM_67696_HF_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_HF_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_HF_predict_BP-2D-02a_1535.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_UAM_67696_HF.xtekct\ \|- |- |- |- |- UAM_67696_HF_predict_BP-3D-02a_.info\ \|- |- |- |- |- UAM_67696_HF_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_HF_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_HF_predict_BP-3D-02a_1535.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_UAM_67696_HF.xtekct\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-2D-02a_.info\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-2D-02a_1535.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_UAM_67696_HF.xtekct\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-3D-02a_.info\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_HF_predict_CTP-3D-02a_1535.tif   **UAM_67696_TFiRU.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **UAM_67696_TFiRU**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_UAM_67696_TFiRU.xtekct\ \|- |- |- |- |- UAM_67696_TFiRU_.info\ \|- |- |- |- |- UAM_67696_TFiRU_0000.tif\ \|- |- |- |- |- UAM_67696_TFiRU_XXXX.tif\ \|- |- |- |- |- UAM_67696_TFiRU_2320.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_UAM_67696_TFiRU.xtekct\ \|- |- |- |- |- UAM_67696_TFiRU_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- UAM_67696_TFiRU_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- UAM_67696_TFiRU_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- UAM_67696_TFiRU_cort-trab-pores-label_v2_2320.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_UAM_67696_TFiRU.xtekct\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-2D-02a_.info\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-2D-02a_2320.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_UAM_67696_TFiRU.xtekct\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-3D-02a_.info\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_BP-3D-02a_2320.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_UAM_67696_TFiRU.xtekct\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-2D-02a_.info\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-2D-02a_2320.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_UAM_67696_TFiRU.xtekct\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-3D-02a_.info\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- UAM_67696_TFiRU_predict_CTP-3D-02a_2320.tif   **UF_23593-24550_HF.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **UF_23593-24550_HF**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_UF_23593-24550_HF.xtekct\ \|- |- |- |- |- UF_23593-24550_HF_.info\ \|- |- |- |- |- UF_23593-24550_HF_0000.tif\ \|- |- |- |- |- UF_23593-24550_HF_XXXX.tif\ \|- |- |- |- |- UF_23593-24550_HF_1663.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_UF_23593-24550_HF.xtekct\ \|- |- |- |- |- UF_23593-24550_HF_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- UF_23593-24550_HF_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- UF_23593-24550_HF_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- UF_23593-24550_HF_cort-trab-pores-label_v2_1663.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_UF_23593-24550_HF.xtekct\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-2D-02a_.info\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-2D-02a_1663.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_UF_23593-24550_HF.xtekct\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-3D-02a_.info\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_BP-3D-02a_1663.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_UF_23593-24550_HF.xtekct\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-2D-02a_.info\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-2D-02a_1663.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_UF_23593-24550_HF.xtekct\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-3D-02a_.info\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- UF_23593-24550_HF_predict_CTP-3D-02a_1663.tif   **UF_24550_TFiRU.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **UF_24550_TFiRU**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_UF_24550_TFiRU.xtekct\ \|- |- |- |- |- UF_24550_TFiRU_.info\ \|- |- |- |- |- UF_24550_TFiRU_0000.tif\ \|- |- |- |- |- UF_24550_TFiRU_XXXX.tif\ \|- |- |- |- |- UF_24550_TFiRU_2047.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_UF_24550_TFiRU.xtekct\ \|- |- |- |- |- UF_24550_TFiRU_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- UF_24550_TFiRU_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- UF_24550_TFiRU_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- UF_24550_TFiRU_cort-trab-pores-label_v2_2047.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_UF_24550_TFiRU.xtekct\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-2D-02a_.info\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-2D-02a_2047.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_UF_24550_TFiRU.xtekct\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-3D-02a_.info\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_BP-3D-02a_2047.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_UF_24550_TFiRU.xtekct\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-2D-02a_.info\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-2D-02a_2047.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_UF_24550_TFiRU.xtekct\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-3D-02a_.info\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- UF_24550_TFiRU_predict_CTP-3D-02a_2047.tif   **UF_31151_HRU.zip**\ \|- **Data**\ \|- |- **Fitting**\ \|- |- |- **UF_31151_HRU**\ \|- |- |- |- **_Raw**\ \|- |- |- |- |- \_UF_31151_HRU.xtekct\ \|- |- |- |- |- UF_31151_HRU_.info\ \|- |- |- |- |- UF_31151_HRU_0000.tif\ \|- |- |- |- |- UF_31151_HRU_XXXX.tif\ \|- |- |- |- |- UF_31151_HRU_1663.tif\ \|- |- |- |- **CTP-label**\ \|- |- |- |- |- \_UF_31151_HRU.xtekct\ \|- |- |- |- |- UF_31151_HRU_cort-trab-pores-label_v2_.info\ \|- |- |- |- |- UF_31151_HRU_cort-trab-pores-label_v2_0000.tif\ \|- |- |- |- |- UF_31151_HRU_cort-trab-pores-label_v2_XXXX.tif\ \|- |- |- |- |- UF_31151_HRU_cort-trab-pores-label_v2_1663.tif\ \|- |- |- |- **Predict_BP-2D-02a**\ \|- |- |- |- |- \_UF_31151_HRU.xtekct\ \|- |- |- |- |- UF_31151_HRU_predict_BP-2D-02a_.info\ \|- |- |- |- |- UF_31151_HRU_predict_BP-2D-02a_0000.tif\ \|- |- |- |- |- UF_31151_HRU_predict_BP-2D-02a_XXXX.tif\ \|- |- |- |- |- UF_31151_HRU_predict_BP-2D-02a_1663.tif\ \|- |- |- |- **Predict_BP-3D-02a**\ \|- |- |- |- |- \_UF_31151_HRU.xtekct\ \|- |- |- |- |- UF_31151_HRU_predict_BP-3D-02a_.info\ \|- |- |- |- |- UF_31151_HRU_predict_BP-3D-02a_0000.tif\ \|- |- |- |- |- UF_31151_HRU_predict_BP-3D-02a_XXXX.tif\ \|- |- |- |- |- UF_31151_HRU_predict_BP-3D-02a_1663.tif\ \|- |- |- |- **Predict_CTP-2D-02a**\ \|- |- |- |- |- \_UF_31151_HRU.xtekct\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-2D-02a_.info\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-2D-02a_0000.tif\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-2D-02a_XXXX.tif\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-2D-02a_1663.tif\ \|- |- |- |- **Predict_CTP-3D-02a**\ \|- |- |- |- |- \_UF_31151_HRU.xtekct\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-3D-02a_.info\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-3D-02a_0000.tif\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-3D-02a_XXXX.tif\ \|- |- |- |- |- UF_31151_HRU_predict_CTP-3D-02a_1663.tif ## Sharing/Access information Free sharing of data, models, and code under CC0 1.0. Please cite accompanying paper if materials are used in part or whole for other applications. ## Code/Software n/a