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MIPAR Image Analysis @MIPAR_Software

Revolutionary image analysis software, capable of identifying and measuring features from nearly any image one can capture.

Joined October 2015
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MIPAR enables titanium grain analysis using automated segmentation of microstructures. Recipes extract grain boundaries, ASTM grain size numbers, and morphology metrics under variable conditions. More at mipar.us/applications-materi…
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ASTM E112 grain size in steel via etched microstructure segmentation and intercept stats. Learn more at mipar.us/applications-materi…
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ASTM E112 grain size in Al alloys via ML segmentation resolving twins and etch contrast for robust metrics. Learn more at mipar.us/applications-materi…
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MIPAR quantifies grain size and morphology in metals via automated ASTM-compliant segmentation, intercept methods, and EBSD-informed workflows, enabling high-throughput microstructural statistics. Learn more at mipar.us/applications-materi…
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MIPAR enables materials analysis using hybrid deep learning segmentation to measure grains, phases, defects, and critical dimensions. Learn more at mipar.us/applications-materi…
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MIPAR performs sub-pixel CD metrology using adaptive edge extraction to measure linewidth, pitch, and critical features in SEM images. Learn more at mipar.us/critical-dimension-…
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Within MIPAR you can construct a fully automated “recipe” mixing cleanup, FFT-normalization, convolution filters and ML-enabled segmentation — then export it via API into a Python pipeline. Learn more at mipar.us/recipes-vs-scriptin…
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Automated boundary extraction quantifies grain size and morphology in multiphase alloys. Learn more at mipar.us/grain-structure-ana…
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MIPAR automates radial unwrapping of Petri dish images for illumination-corrected colony segmentation and morphology-based enumeration. Learn more at mipar.us/how-to-image-petri.…
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Automating microstructural workflows, MIPAR integrates deep learning segmentation with rule-based recipes for reproducible quantitative analysis. Learn more at mipar.us/how-to-automate-mat…
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MIPAR quantifies pore size distribution by segmenting pores, extracting morphology metrics, and generating cumulative and differential distributions. Learn more at mipar.us/how-measure-pore-si…
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MIPAR enables automated quantification of whole-slide pathology images, integrating deep learning segmentation with reproducible pipelines for histological feature extraction. Learn more at mipar.us/what-is-digital-pat…
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Quantify powder morphology with MIPAR: automated particle size and shape analysis yields reproducible metrics for distribution, aspect ratio, and sphericity. Learn more at mipar.us/particle-analysis-s…
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MIPAR automates phase segmentation in metallography, quantifying phase fractions and morphologies directly from micrographs. Learn more at mipar.us/what-is-metal-phase…
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MIPAR deep learning models segment contaminants across diverse substrates, enabling precise quantification of inclusion morphology and spatial distribution. Learn more at mipar.us/deep-learning-softw…
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Automate segmentation of overlapping colonies in Petri dish images using thresholding, watershed, and circularity filters. Learn more at mipar.us/how-to-image-petri.…
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Cell segmentation with MIPAR leverages local contrast and shape-based filtering to isolate overlapping, irregular, or faint cell boundaries in complex biological images. Learn more at mipar.us/principles-cell-ide…
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Quantify porosity and pore size distribution across scales using MIPAR's automated segmentation and measurement tools. Ideal for membrane, scaffold, and foam analysis. Learn more at mipar.us/porosity-analysis-p…
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AI-powered segmentation in MIPAR enables high-throughput phenotypic quantification of cell morphology across diverse imaging modalities. Learn more at mipar.us/cell-image-analysis…
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Automated segmentation in MIPAR accelerates digital histology by quantifying structures in high-resolution slides with reproducible precision. Learn more at mipar.us/benefits-digital-hi…
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