Draft:MIPAR (Software Company)

{{Infobox software

| name = MIPAR

| logo = MIPAR Logo 512x512.png

| developer = MIPAR Software LLC

| released = 2017

| latest release version = v5.1.0

| latest release date = Feb 10, 2025

| operating system = Windows 10 & 11,

macOS Intel & Apple Silicon

| genre = Image analysis Software

| license = Proprietary

| website = {{URL|https://mipar.us/}}

}}

File:Image Processor UI.png

MIPAR Software, LLC, is the developer of the MIPAR Image Analysis software suite. The company was founded in 2017 and is headquartered in Columbus, Ohio, United States. The software was initially developed at The Ohio State University’s Center for the Accelerated Maturation of Materials to quantify features in titanium micrographs.{{Cite web |date=2017-05-30 |title=Software for analyzing microscopic images poised for big market success |url=https://engineering.osu.edu/news/2017/05/software-analyzing-microscopic-images-poised-big-market-success |access-date=2025-02-18 |website=COLLEGE OF ENGINEERING |language=en}}

Originally designed for metallurgical image analysis, MIPAR has since evolved into a comprehensive image-processing platform used across multiple disciplines, including materials science, biomedical research, agriculture, and manufacturing sectors such as aerospace, automotive, and medical devices. The software leverages computer vision and machine learning to automate complex image analysis tasks.

MIPAR Software offers a comprehensive suite of image analysis tools designed to automate and enhance feature detection and measurement across various scientific and industrial applications. The key components and their functionalities include:

MIPAR offers solutions for automating image processing, providing tools for feature detection and measurement across various scientific and industrial applications. Key products include:

MIPAR Base – The core product of MIPAR, MIPAR Base, is utilized across sectors such as materials science, life sciences, and manufacturing to automate image analysis. It supports over 150 file formats and provides a dynamic toolkit for developing and executing automated workflows. Users can construct and implement image analysis algorithms, perform batch processing, and utilize real-time processing for immediate image handling. The software includes a batch review environment to confirm detection accuracy before measurement generation. It offers over 100 image processing functions and more than 30 distinct measurements, with the flexibility to customize measurement formulas. Data can be exported to CSV files or professional Word/PDF reports, and all image outputs are non-proprietary for easy sharing. The interface is user-friendly, requires no programming knowledge, and provides real-time feedback.

File:DL Trainer.png

Deep Learning Extension – This extension integrates advanced AI tools, enabling users to train convolutional neural network (CNN) models directly on their systems. The Model Trainer is designed to achieve high accuracy with minimal training data, sometimes requiring as few as four annotated images. Importantly, all data remains on the user's system, ensuring privacy and security. This extension is ideal for automating research projects' complex feature detection and segmentation tasks.

Spotlight Extension – Spotlight incorporates transformer-based AI models into the analysis workflow, enhancing segmentation and classification capabilities. It enables the software to recognize a wide array of objects, even those it hasn't been specifically trained on, streamlining the detection process within MIPAR's ecosystem. This extension runs locally on the user's system to ensure data privacy and security.

3D Toolbox – The 3D Toolbox provides tools for volumetric image analysis, allowing users to process and analyze three-dimensional datasets. This is particularly useful for applications requiring depth and volume measurements.

Report Generator – This feature enables users to export analysis results in various formats, including CSV, Word, and PDF, facilitating easy documentation and sharing of findings.

File:Live Microscope Control UI.png

MIPAR Live – Designed for digital optical microscopes, MIPAR Live allows users to capture images, perform analyses, and generate reports within a unified workflow. It offers seamless integration of image acquisition and analysis, ensuring consistent imaging conditions and preventing variability in analysis results. The software supports various microscope cameras and provides intuitive controls for image capture, analysis application, and result generation.

File:Spotlight UI.png

MIPAR Checkpoint – Tailored for environments requiring compliance with regulatory standards such as FDA 21 CFR Part 11 and GMP Annex 11, MIPAR Checkpoint offers features including user access control, automated analysis reporting, electronic sign-off, and comprehensive audit trails. It streamlines the deployment of automated analysis in production settings, ensuring traceability and adherence to regulatory requirements.

MIPAR provides tools for integrating its software with external systems, including:

Docker REST API – This tool facilitates cloud-based processing, enabling users to integrate MIPAR's image analysis capabilities into external applications or workflows, such as web-based applications or database plugins. It supports scalable image analysis operations, making it suitable for large-scale projects.

Python API Library – The Python API allows for scripting and automation of image processing tasks, providing flexibility for researchers and developers to customize workflows and integrate MIPAR's functionalities into their existing systems.

MIPAR Image Analysis software provides a flexible toolkit and is used across many industries and research fields:

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• Superalloy{{Cite journal |last1=Senkov |first1=O. N. |last2=Jensen |first2=J. K. |last3=Pilchak |first3=A. L. |last4=Miracle |first4=D. B. |last5=Fraser |first5=H. L. |date=2018-02-05 |title=Compositional variation effects on the microstructure and properties of a refractory high-entropy superalloy AlMo0.5NbTa0.5TiZr |url=https://www.sciencedirect.com/science/article/pii/S026412751731064X |journal=Materials & Design |volume=139 |pages=498–511 |doi=10.1016/j.matdes.2017.11.033 |issn=0264-1275}}{{Cite journal |last1=Jensen |first1=J. K. |last2=Welk |first2=B. A. |last3=Williams |first3=R. E. A. |last4=Sosa |first4=J. M. |last5=Huber |first5=D. E. |last6=Senkov |first6=O. N. |last7=Viswanathan |first7=G. B. |last8=Fraser |first8=H. 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V. |date=2020-10-22 |title=Unraveling the Role of Excess Ligand in Nanoparticle Pattern Formation from an Evaporatively Dewetting Nanofluid Droplet |url=https://pubs.acs.org/doi/abs/10.1021/acs.jpcc.0c07259 |journal=The Journal of Physical Chemistry C |volume=124 |issue=42 |pages=23446–23453 |doi=10.1021/acs.jpcc.0c07259 |issn=1932-7447}}{{Cite journal |last1=Rao |first1=Anupama |last2=Russell |first2=Andrew |last3=Segura-Bermudez |first3=Jose |last4=Franz |first4=Charles |last5=Dockery |first5=Rejenae |last6=Blatnik |first6=Anton |last7=Panten |first7=Jacob |last8=Zevallos |first8=Mateo |last9=McNulty |first9=Carson |last10=Pietrzak |first10=Maciej |last11=Goldman |first11=Joseph Aaron |date=2025-02-17 |title=A cardiac transcriptional enhancer is repurposed during regeneration to activate an anti-proliferative program |url=https://journals.biologists.com/dev/article/152/4/DEV204458/367001/A-cardiac-transcriptional-enhancer-is-repurposed |journal=Development |volume=152 |issue=4 |pages=DEV204458 |doi=10.1242/dev.204458 |pmid=39803985 |issn=0950-1991}}{{Citation |last1=Vavrušová |first1=Zuzana |title=Differential regulation of SHH signaling and the developmental control of species-specific jaw size through neural crest-mediated Gas1 expression |date=2021-12-18 |url=https://www.biorxiv.org/content/10.1101/2021.12.17.473230v1.abstract |access-date=2025-02-20 |publisher=bioRxiv |language=en |doi=10.1101/2021.12.17.473230 |last2=Chu |first2=Daniel B. |last3=Nguyen |first3=An |last4=Fish |first4=Jennifer L. |last5=Schneider |first5=Richard A.}}{{Cite journal |last1=Parsian |first1=Maryam |last2=Mutlu |first2=Pelin |last3=Yildirim |first3=Ender |last4=Ildiz |first4=Can |last5=Ozen |first5=Can |last6=Gunduz |first6=Ufuk |date=2022-05-05 |title=Development of a microfluidic platform to maintain viability of micro-dissected tumor slices in culture |journal=Biomicrofluidics |volume=16 |issue=3 |pages=034103 |doi=10.1063/5.0087532 |pmid=35547184 |pmc=9076128 |issn=1932-1058}}{{Cite journal |last1=Abu |first1=Mohd Nazri |last2=Zaimy |first2=Nurizan |last3=Sahlan |first3=Suwadi Aryadiy |last4=Zulkifle |first4=Nur Atikah |last5=Azlan |first5=Siti Sarra Hazwani Mohd |date=2019 |title=Leaves aqueous extract as a cytological stain for buccal cell screening |url=https://www.healthscopefsk.com/index.php/research/article/view/25 |journal=Healthscope: The Official Research Book of Faculty of Health Sciences, UiTM |language=en |volume=1 |issn=2735-0649}}{{Cite book |url=https://asmedigitalcollection.asme.org/MSEC/proceedings-abstract/MSEC2017/50756/268682 |access-date=2025-02-20 |website=asmedigitalcollection.asme.org|doi=10.1115/MSEC2017-3020 |title=Investigation of Cellular Confinement in 3D Microscale Fibrous Substrates: Fabrication and Metrology |date=2017 |last1=Tourlomousis |first1=Filippos |last2=Boettcher |first2=William |last3=Ding |first3=Houzhu |last4=Chang |first4=Robert C. |isbn=978-0-7918-5075-6 }}{{Citation |last1=Delorme |first1=James |title=Sleep loss disrupts hippocampal memory consolidation via an acetylcholine- and somatostatin interneuron-mediated inhibitory gate |date=2020-08-03 |url=https://www.biorxiv.org/content/10.1101/2020.08.02.233080v1.abstract |access-date=2025-02-20 |publisher=bioRxiv |language=en |doi=10.1101/2020.08.02.233080 |last2=Kuhn |first2=Femke Roig |last3=Wang |first3=Lijing |last4=Kodoth |first4=Varna |last5=Ma |first5=Jingqun |last6=Jiang |first6=Sha |last7=Aton |first7=Sara J.}}{{Cite journal |url=https://asmedigitalcollection.asme.org/micronanomanufacturing/article-abstract/6/2/021003/366757/Investigation-of-Cellular-Confinement-in-Three |access-date=2025-02-20 |journal=Journal of Micro and Nano-Manufacturing|doi=10.1115/1.4038803 |title=Investigation of Cellular Confinement in Three-Dimensional Microscale Fibrous Substrates: Fabrication and Metrology |date=2018 |last1=Tourlomousis |first1=Filippos |last2=Boettcher |first2=William |last3=Ding |first3=Houzhu |last4=Chang |first4=Robert C. |volume=6 |issue=2 }}

• Lithium-ion battery{{Cite journal |last1=Park |first1=Geon-Tae |last2=Park |first2=Nam-Yung |last3=Ryu |first3=Hoon-Hee |last4=Hohyun Sun |first4=H. |last5=Hwang |first5=Jang-Yeon |last6=Sun |first6=Yang-Kook |date=2024 |title=Nano-rods in Ni-rich layered cathodes for practical batteries |url=https://pubs.rsc.org/en/content/articlehtml/2007/7y/d3cs01110k |journal=Chemical Society Reviews |language=en |volume=53 |issue=23 |pages=11462–11518 |doi=10.1039/D3CS01110K|pmid=39380343 }}
• Ceramics engineering{{Cite journal |last1=Webber |first1=Kyle G. |last2=Clemens |first2=Oliver |last3=Buscaglia |first3=Vincenzo |last4=Malič |first4=Barbara |last5=Bordia |first5=Rajendra K. |last6=Fey |first6=Tobias |last7=Eckstein |first7=Udo |date=2024-12-01 |title=Review of the opportunities and limitations for powder-based high-throughput solid-state processing of advanced functional ceramics |url=https://www.sciencedirect.com/science/article/pii/S0955221924006538 |journal=Journal of the European Ceramic Society |volume=44 |issue=15 |pages=116780 |doi=10.1016/j.jeurceramsoc.2024.116780 |issn=0955-2219}}{{Cite journal |last1=Jivanji |first1=Melisha |last2=Forbes |first2=Roy Peter |last3=Sithebe |first3=Humphrey |last4=Westraadt |first4=Johan Ewald |date=2023-06-01 |title=Effect of ZrB2 additions on the thermal stability of polycrystalline diamond |url=https://www.sciencedirect.com/science/article/abs/pii/S0263436823001026 |journal=International Journal of Refractory Metals and Hard Materials |volume=113 |pages=106202 |doi=10.1016/j.ijrmhm.2023.106202 |arxiv=2302.03464 |issn=0263-4368}}
• Energy{{Cite journal |last1=Church |first1=Jared |last2=Willner |first2=Marjorie R. |last3=Renfro |first3=Brittany R. |last4=Chen |first4=Yun |last5=Diaz |first5=Daniela |last6=Lee |first6=Woo Hyoung |last7=Dutcher |first7=Cari S. |last8=Lundin |first8=Jeffrey G. |last9=Paynter |first9=Danielle M. |date=2021-02-01 |title=Impact of Interfacial Tension and Critical Micelle Concentration on Bilgewater Oil Separation |url=https://www.sciencedirect.com/science/article/abs/pii/S2214714420305626 |journal=Journal of Water Process Engineering |volume=39 |pages=101684 |doi=10.1016/j.jwpe.2020.101684 |bibcode=2021JWPE...3901684C |issn=2214-7144}}{{Cite journal |last1=Hossein |first1=Fria |last2=Duan |first2=Cong |last3=Angeli |first3=Panagiota |date=2024-08-27 |title=Advanced ultrasound techniques for studying liquid–liquid dispersions in confined impinging jets |url=https://pubs.aip.org/aip/pof/article/36/8/082011/3309949 |journal=Physics of Fluids |volume=36 |issue=8 |pages=082011 |doi=10.1063/5.0218731 |bibcode=2024PhFl...36h2011H |issn=1070-6631}}{{Cite journal |last1=Lin |first1=Weitong |last2=Cao |first2=Jin |last3=Hu |first3=Haixiang |last4=Lin |first4=Shaofang |last5=Lv |first5=Qingyang |last6=Ren |first6=Qisen |last7=Hu |first7=Jing |date=2024-06-01 |title=A comparative study of corrosion mechanisms in recrystallized and stress-relieved Zircaloy-4 by 3D-FIB tomography and ACOM-TEM |url=https://www.sciencedirect.com/science/article/abs/pii/S0010938X24002440 |journal=Corrosion Science |volume=233 |pages=112060 |doi=10.1016/j.corsci.2024.112060 |bibcode=2024Corro.23312060L |issn=0010-938X}}{{Cite journal |last1=Sánchez-Coronilla |first1=Antonio |last2=Martín |first2=Elisa I. |last3=Navas |first3=Javier |last4=Aguilar |first4=Teresa |last5=Gómez-Villarejo |first5=Roberto |last6=Alcántara |first6=Rodrigo |last7=Piñero |first7=Jose Carlos |last8=Fernández-Lorenzo |first8=Concha |date=2018-02-01 |title=Experimental and theoretical analysis of NiO nanofluids in presence of surfactants |url=https://www.sciencedirect.com/science/article/abs/pii/S0167732217354648 |journal=Journal of Molecular Liquids |volume=252 |pages=211–217 |doi=10.1016/j.molliq.2017.12.140 |issn=0167-7322}}{{Cite report |url=https://www.osti.gov/biblio/1642905 |title=Aluminum Spent Fuel Performance in Dry Storage Task 4 Aluminum Oxide Sampling of ATR Dry Stored Fuel |last1=Winston |first1=Philip L. |last2=Middlemas |first2=Scott |last3=Winston |first3=Alexander |last4=Burns |first4=Jatuporn |last5=Tolman |first5=Kevin |last6=Liu |first6=Xiang |last7=Aguiar |first7=Jeffrey |date=2020-05-01 |publisher=Idaho National Lab. (INL), Idaho Falls, ID (United States) |issue=INL/EXT–20–58842 |osti=1642905 |language=English}}{{Cite journal |last1=Buehler |first1=Carl |last2=Sailer |first2=Bernd |last3=Wanior |first3=Matheus |last4=Abaecherli |first4=Vital |last5=Thoener |first5=Manfred |last6=Schlenga |first6=Klaus |last7=Kauffmann-Weiss |first7=Sandra |last8=Hänisch |first8=Jens |last9=Heilmaier |first9=Martin |last10=Holzapfel |first10=Bernhard |date=June 2020 |title=Challenges and Perspectives of the Phase Formation of Internally Oxidized PIT-Type Nb3Sn Conductors |url=https://ieeexplore.ieee.org/document/8976146 |journal=IEEE Transactions on Applied Superconductivity |volume=30 |issue=4 |pages=1–5 |doi=10.1109/TASC.2020.2969906 |bibcode=2020ITAS...3069906B |issn=1558-2515}}{{Cite journal |last1=Shahbaznezhad |first1=Mohcen |last2=Dehghanghadikolaei |first2=Amir |last3=Sojoudi |first3=Hossein |date=2020-12-08 |title=Optimum Operating Frequency for Electrocoalescence Induced by Pulsed Corona Discharge |journal=ACS Omega |volume=5 |issue=48 |pages=31000–31010 |doi=10.1021/acsomega.0c03948 |pmc=7726783 |pmid=33324808}}{{Cite journal |last1=van Rooyen |first1=Melody |last2=Becker |first2=Thorsten |last3=Westraadt |first3=Johan |last4=Marx |first4=Genevéve |date=January 2019 |title=Creep Damage Assessment of Ex-Service 12% Cr Power Plant Steel Using Digital Image Correlation and Quantitative Microstructural Evaluation |journal=Materials |language=en |volume=12 |issue=19 |pages=3106 |doi=10.3390/ma12193106 |doi-access=free |pmid=31554172 |pmc=6804267 |bibcode=2019Mate...12.3106V |issn=1996-1944}}{{Cite journal |last1=Watkins |first1=Jennifer K. |last2=Wagner |first2=Adrian R. |last3=Middlemas |first3=Scott C. |last4=Craig Marshall |first4=M. |last5=Metzger |first5=Kathryn |last6=Jaques |first6=Brian J. |date=2022-02-01 |title=Enhancing thermal conductivity of UO2 with the addition of UB2 via conventional sintering techniques |url=https://www.sciencedirect.com/science/article/abs/pii/S0022311521006413 |journal=Journal of Nuclear Materials |volume=559 |pages=153421 |doi=10.1016/j.jnucmat.2021.153421 |issn=0022-3115}}{{Cite journal |last1=Monte-Mor |first1=L. S. |last2=Trevisan |first2=O. V. |date=2016-07-12 |title=Laboratory Study on Carbonate Rocks Characterization and Porosity Changes Due to Co2 Injection |url=https://www.portalabpg.org.br/bjpg/index.php/bjpg/article/view/486 |journal=Brazilian Journal of Petroleum and Gas |language=en |volume=10 |issue=2 |pages=105–117 |doi=10.5419/bjpg2016-0009 |issn=1982-0593}}
• Welding{{Cite journal |last1=Baheti |first1=Varun A. |last2=Kashyap |first2=Sanjay |last3=Kumar |first3=Praveen |last4=Chattopadhyay |first4=Kamanio |last5=Paul |first5=Aloke |date=2017-06-01 |title=Bifurcation of the Kirkendall marker plane and the role of Ni and other impurities on the growth of Kirkendall voids in the Cu–Sn system |url=https://www.sciencedirect.com/science/article/abs/pii/S1359645417302616 |journal=Acta Materialia |volume=131 |pages=260–270 |doi=10.1016/j.actamat.2017.03.068 |bibcode=2017AcMat.131..260B |issn=1359-6454}}{{Cite journal |last1=Ibrahim |first1=Mohammed I. A. |last2=G.C.H. Ferreira |last3=E.A. Venter |last4=Christo J Botha |date=2024 |title=Morphological Changes Induced by Imidacloprid, Using a Rat Leydig Cell Line (Lc-540) |url=https://rgdoi.net/10.13140/RG.2.2.24001.88166 |language=en |doi=10.13140/RG.2.2.24001.88166}}
• Semiconductor{{Cite journal |last1=Alety |first1=Sridevi R |last2=Lagudu |first2=Uma R. K. |last3=Popuri |first3=R. |last4=Patlolla |first4=Raghuveer |last5=Surisetty |first5=Charan V. V. S. |last6=Babu |first6=S. V. |date=2017 |title=Cleaning Solutions for Ultrathin Co Barriers for Advanced Technology Nodes |url=https://iopscience.iop.org/article/10.1149/2.0351709jss |journal=ECS Journal of Solid State Science and Technology |language=en |volume=6 |issue=9 |pages=P671–P680 |doi=10.1149/2.0351709jss |issn=2162-8769}}
• Additive Manufacturing{{Cite journal |last1=Sun |first1=Li |last2=Chiang |first2=Po-Ju |last3=Singham |first3=Jonathan Jeevan |last4=Tan |first4=Wei Xin |last5=Jangam |first5=John Samuel Dilip |last6=Lai |first6=Chang Quan |date=2024-02-05 |title=An efficient method for multiscale modelling of the mechanical properties of additively manufactured parts with site-specific microstructures |url=https://www.sciencedirect.com/science/article/abs/pii/S2214860424000411 |journal=Additive Manufacturing |volume=81 |pages=103995 |doi=10.1016/j.addma.2024.103995 |issn=2214-8604}}
• Nanoparticle{{Cite journal |last1=Kopanja |first1=Lazar |last2=Tadić |first2=Marin |last3=Kralj |first3=Slavko |last4=Žunić |first4=Joviša |date=2018-08-01 |title=Shape and aspect ratio analysis of anisotropic magnetic nanochains based on TEM micrographs |url=https://www.sciencedirect.com/science/article/abs/pii/S0272884218308812 |journal=Ceramics International |volume=44 |issue=11 |pages=12340–12351 |doi=10.1016/j.ceramint.2018.04.021 |issn=0272-8842}}
• Other{{Cite journal |last1=Diaz |first1=Daniela |last2=Church |first2=Jared |last3=Willner |first3=Marjorie R. |last4=Sarnyai |first4=Stephen |last5=Lundin |first5=Jeffrey G. |last6=Paynter |first6=Danielle M. |last7=Lee |first7=Woo Hyoung |date=2021-01-20 |title=Evaluation of Bilgewater Emulsion Stability Using Nondestructive Analytical Methods |url=https://pubs.acs.org/doi/abs/10.1021/acs.iecr.0c04814 |journal=Industrial & Engineering Chemistry Research |volume=60 |issue=2 |pages=1014–1025 |doi=10.1021/acs.iecr.0c04814 |issn=0888-5885}}{{Cite journal |last1=Dharmadhikari |first1=Susheel |last2=Keller |first2=Eric |last3=Ray |first3=Asok |last4=Basak |first4=Amrita |date=2021-01-01 |title=A dual-imaging framework for multi-scale measurements of fatigue crack evolution in metallic materials |url=https://www.sciencedirect.com/science/article/abs/pii/S0142112320304539 |journal=International Journal of Fatigue |volume=142 |pages=105922 |doi=10.1016/j.ijfatigue.2020.105922 |issn=0142-1123}}{{Cite journal |last1=Brune |first1=R. C. |last2=Hansen |first2=S. R. |last3=Vivek |first3=A. |last4=Sosa |first4=J. M. |last5=Daehn |first5=G. S. |date=2017-10-01 |title=Profile indentation pressure evaluation method for impulse manufacturing technologies |url=https://www.sciencedirect.com/science/article/abs/pii/S0924013617301978 |journal=Journal of Materials Processing Technology |volume=248 |pages=185–197 |doi=10.1016/j.jmatprotec.2017.05.023 |issn=0924-0136}}

{{Excessive citations|date=March 2025|details=There are a plethora of articles citing examples of these applications, however, they are all relevant to their respective topics.}}

MIPAR Software is compatible with:

Windows 10 & 11 – Fully supported with GPU acceleration.

macOS (Intel & Apple silicon)

• [https://www.mipar.us/ Official website]

• [https://www.udemy.com/course/learn-image-analysis/ MIPAR Learning Resources]

• [https://www.mipar.us/video-tutorials.html MIPAR Tutorials]