Bone On-Growth for Histology with a Coated Pin (Basic)

Bone On-Growth for Histology with a Coated Pin (Advanced)

IQ-BOT-0013

Details

Name
Bone On-Growth for Histology with a Coated Pin
IQbot ID
IQBOT-0013
Version
1.0.0
Research Area(s)
Orthopedics
Processing Time Expectation
Less than 2 Minutes per Image
Acquisition Hardware
Bright-Field Microscopy, at 20x Magnification Using a Wide-Field Optical Miscroscope in Transmission Mode
Techniques, Dyes, Stains, & Proteins
Stevenel's Blue, Van Gison Picrofuchsin, Dehydration and Plastic Embedding in PMMA (Methyl Methacrylate)
Sample Context
In Tissue
Name
Bone On-Growth for Histology with a Coated Pin
IQbot ID
IQBOT-0013
Version
1.0.0
Research Area(s)
Orthopedics
Processing Time Expectation
Less than 2 Minutes per Image
Acquisition Hardware
Bright-Field Microscopy, at 20x Magnification Using a Wide-Field Optical Miscroscope in Transmission Mode
Techniques, Dyes, Stains, & Proteins
Stevenel's Blue, Van Gison Picrofuchsin, Dehydration and Plastic Embedding in PMMA (Methyl Methacrylate)
Sample Context
In Tissue

Output Parameters

On-Growth ROI Area (μm2 or pixels)
The region-of-interest (ROI) area around the pin created for analysis of on-growth. Generated by extruding the segmented pin's surface by 100 μm. The ROI contour is not defined by a specific shape (i.e., circle or ellipse), but based on a point-to-point extension of the pin surface. The ROI is also restricted to the marrow space and does not extend into cortical bone.
Bone Area (μm2 or pixels)
The area of segmented bone within the On-Growth ROI defined above.
Bone On-Growth Fraction
The fraction of bone in the 100 μm extruded region around the pin (the Bone Area divided by the On-Growth ROI Area).
On-Growth ROI Perimeter (μm or pixels)
The surface length of the pin not in contact with cortical bone.
On-Growth Bone Perimeter (μm or pixels)
The summation of segmented bone pixels along the pin surface (excluding cortical bone).
Pin Surface Coverage Fraction
The fraction of the pin surface in contact with bone (the On-Growth Bone Perimeter divided by the On-Growth ROI Perimeter).

 

This section will identify any output parameters that are only output by the IQbot in its advanced configuration.

 

On-Growth ROI Area (μm2 or pixels)
The region-of-interest (ROI) area around the pin created for analysis of on-growth. Generated by extruding the segmented pin's surface by 100 μm. The ROI contour is not defined by a specific shape (i.e., circle or ellipse), but based on a point-to-point extension of the pin surface. The ROI is also restricted to the marrow space and does not extend into cortical bone.
Bone Area (μm2 or pixels)
The area of segmented bone within the On-Growth ROI defined above.
Bone On-Growth Fraction
The fraction of bone in the 100 μm extruded region around the pin (the Bone Area divided by the On-Growth ROI Area).
On-Growth ROI Perimeter (μm or pixels)
The surface length of the pin not in contact with cortical bone.
On-Growth Bone Perimeter (μm or pixels)
The summation of segmented bone pixels along the pin surface (excluding cortical bone).
Pin Surface Coverage Fraction
The fraction of the pin surface in contact with bone (the On-Growth Bone Perimeter divided by the On-Growth ROI Perimeter).
Mean Bone Distance from Pin Surface (μm or pixels)
The mean distance of bone from the pin surface, calculated by averaging the distances of the closest segmented bone pixels from the pin surface (non-cortical) for a set of radial vectors emanating from the center of the pin.

Image Acquisition


This IQbot was developed to analyze axial histological sections of rat or mouse tibias for bone on-growth within a 100 μm distance from the border of an implanted pin. The sections are embedded with plastic and stained with Stevenel's blue / van Gison picrofuchsin before being captured with Bright-Field Microscopy. Sections imaged and subsequently submitted for analysis should depict the full range of affected tissue: the on-growth region of interest.

 
 

The Bone On-Growth for Histology with a Coated Pin IQbot has been built to accommodate the following imaging types only.

   .tif 
  .tiff
  .bmp
 .jpg
.jpeg
 
 

As we reference for IQbots in general here, the Bone On-Growth for Histology with a Coated Pin is only ultimately effective if you upload high quality images for processing. Please ensure that any images you upload follow the below guidelines specific to this IQbot.

High-Resolution:  The quality of the output data you receive is largely dependent on the input image resolution. Please provide high-resolution images to ensure that the IQbot can most effectively differentiate between features.
In-Focus:  Please produce the most in-focus images possible for analysis. Images with high background contrast will result in more accurate and useful data and overlays.
Properly Saturated:  If your submitted images are significantly undersaturated or oversaturated, it is possible that the IQbot will be unable to detect structures, or may group structures together. Please ensure that the images you upload are saturated appropriately.
Clear of Artifacts:  Please take care to avoid creating bubbles, debris, or otherwise inducing artifacts into your image. Such additional features may corrupt the resulting data.
Clear of Accessary Information:  Please do not submit images retaining any annotations, legends, timestamps, or other markings. Every part of the images that you upload will be analyzed and included in the output data.
 
 
 

If you are uncertain whether or not your images meet the quality standards for which this IQbot was validated, or have additional questions relating to image quality, please view our FAQs or contact the ImageQuantify.com support team.

 

     (216) 678-9258           help@imagequantify.com

 

Validation Information


This IQbot has been successfully validated for use, and a copy of its validation certificate accompanies the results of each order it analyzes. In accordance with general ImageQuantify.com validation procedures, this IQbot has been found to provide quantitative information equivalent to that of a manual observer, but with no variability and increased breadth of information.

 
 

The first step of the validation process was to establish the ground truth against which the IQbot’s efficacy would be compared. For the purpose of the Bone On-Growth for Histology with a Coated Pin IQbot, ground truth was defined on a manual observer basis. Trained observers were guided through a standardized, semi-automated process to produce output data from a specially selected validation image set. This image set represented the entire range of expected output values (e.g., with varying amounts of on-growth visualized). Images were presented for analysis in a randomized order and deidentified to protect against observer biases. The observer mean for each parameter measured was accepted as ground truth.

By analyzing the inter- and intraobserver variability present in the manual observation process, acceptable criteria were established so as to compare the IQbot’s output to that of a trained replacement observer. Ultimately, the IQbot’s performance proved to offer significant upgrades over manual or semi-automated analysis techniques, and validation was considered successful. Further considerations ensured that the IQbot rejected and flagged concerning image-specific outputs and performed within operation time constraints.

 

The Coated Pin, Bone On-Growth IQbot analyzes plastic-embedded and Stevenel’s blue / van Gison picrofuchsin stained, axial histological sections of the tibia from a mouse or rat for bone on-growth within a 100 μm distance from the border of an implanted pin. This analysis region of interest (On-Growth ROI Area) is restricted to the surfaces in contact with the marrow cavity and avoids analysis of any pin surface facing cortical bone. Thus if the pin is inserted into the cortical bone for a given histological section, only the edge of the pin that is exposed to the marrow cavity is analyzed (algorithmically determined). In addition to the bone on-growth area (Bone Area) and corresponding On-Growth Fraction (Bone Area divided by On-Growth ROI Area), the pin surface length immediately in contact with bone is also extracted (On-Growth Bone Perimeter) and exported along with the fraction of the bone-to-pin surface contact (Pin Surface Coverage Fraction) calculated by dividing the On-Growth Bone Perimeter by the total available pin surface length exposed to the marrow space (On-Growth ROI Perimeter). Finally, for the "advanced" version of this IQbot, mean distance of bone from the pin surface is generated using a set of radial vectors (1 vector per degree for an evaluation arc spanning the non-cortical region around the pin) emanating from the centroid of the pin that report the distance from the pin surface to the first segmented bone pixel intersected. In addition to these metrics, a pseudo-colored image is generated in which the ROI for bone growth analyzed is delineated in blue and segmented bone within this region is pseudo-colored green.

DEMO IMAGE
IQBOT APPLIED IMAGE

 

SAMPLE DATA
Image On-Growth ROI Area
(μm2)
Bone Area
(μm2)
Bone On-Growth Fraction On-Growth ROI Perimeter
(μm)
On-Growth Bone Perimeter
(μm)
Pin Surface Coverage Fraction Mean Bone Distance from Pin Surface
(μm)
Sample 173028.31 72599.48 0.420 1680.22 1459.33 0.869 10.43