Press Kit

Who we are and what we do (so well)…

You'll find everything you need to know about ORS here, including our story, product descriptions, logos, application screenshots, press releases, and more.

Founded in 2004 and based in Montreal, Object Research Systems (ORS) Inc, develops deep learning powered 3D visualization and image analysis software used by research centers, engineering groups, and industrial facilities to process, visualize, and analyze scientific image data. The company's flagship product, Dragonfly, provides innovators from leading universities and industries an advanced machine learning and neural networks based segmentation engine. Dragonfly's quantification tools then provide powerful options for counting, measuring, and characterizing image features, such as pores, fibers, grains, and much more. The application's user-friendly experience translates its powerful and accurate quantitative findings with high-impact visuals. The ability to build fully automated workflows also enables reproducible results.

ORS has been a member of the Comet Group since January 1, 2021.

All of our products leverage a state-of-the-art software architecture that allows for extensible workflows that result in sophisticated 3D visualizations and comprehensive analyses.


Dragonfly

Integrated within an easy-to-learn interface and featuring an extensive set of industry-leading tools for the transformation, segmentation, and quantification of multi-scale, multi-modality image data, Dragonfly is simply the smartest choice for solving demanding research problems and addressing industrial imaging challenges. Dragonfly provides the ideal framework for specialized workflows across a range of application areas with advanced capabilities for post-processing, feature extraction, quantification, 3D modeling, and access to Dragonfly's Deep Learning solution for denoising, super-resolution, and image segmentation. Learn more about Dragonfly…

Dragonfly Datasheet (PDF) download
Dragonfly Deep Learning Datasheet (PDF) download
Dragonfly Bone Analysis Datasheet (PDF) download


What researchers and other users have to say* about ORS software.


I have used CT to study the anatomy of fossil and living fishes for more than a decade. Dragonfly revolutionized my approach and quickly become indispensable for my research and teaching because it is so easy to segment... Perhaps more important, I can easily teach these analytical methods to students. Online video tutorials explain and illustrate the most common tasks needed for our work. This lets me focus on studying and teaching comparative anatomy instead of teaching software methods.

William E. Bemis, Ph.D.
Prof. of Ecology and Evolutionary Biology and Faculty Curator of Fishes
Cornell University


I just got back from a symposium in Israel, where I showed many professors my research. They were all blown away by my results and my 3D videos! They kept asking us where our work has been published. My collaborators and I are furiously working on getting out a publication… things have really taken off!

Ryan McKeown, Graduate Student
Harvard University


First, the video looks like pure magic to my eyes. I am sure the rest of our lab members will appreciate the beauty of Active Contour tool, and my guess is they will use Active Contour tool on any spherical object that they come across. I cannot thank you enough for taking your time to make the video for us.

Junha Song, Research Associate
Berkeley


* These remarks were made by individuals, and should not be considered as official endorsements by their respective institutions.

Jeremy Simon, General Manager

Jeremy Simon has been a corporate leader over a 25-year career that has served both the medical and industrial technology sectors. By helping start-ups and established corporations generate new innovations, at times in concert, Mr. Simon has gained vast experience in global market development. He has managed the growth process of established businesses as well as corporate M&A/Venture Capital transactions, and has a successful track record developing winning product strategies while working effectively with channel partners and customers.


Normand Mongeau, Project Lead

Normand Mongeau is a senior technology and software development leader with a record of success in product development, software architecture, and technical and operations management. As Team Leader, Mr. Mongeau is responsible for overseeing all deployment and integration activities for the company's core imaging platform and ensuring that all developed products conform to the company's high standards.

Mr. Mongeau has worked in software development since 1986 and has taken part in several large projects. He was lead developer and support manager at Epix Inc. for the SAGE software, a preventive maintenance application with installations at more than 200 sites, and was an active member of the LGS team that developed an application to read Hydro-Quebec meters. After focusing on object-oriented programming, he took part in developing the Mystral application for Proxima Systems Ltd.


Nicolas Piché, Research & Development Lead

Nicolas Piché brings more than 25 years of industry and academic leadership experience to this executive in Research and Development. He was instrumental in the development of the company's core imaging platforms and currently leads the research team that is translating the promise of deep learning into transformative solutions for imaging applications. Prior to co-founding ORS, Dr. Piché held senior positions in prominent North American and European technology companies and has authored papers within the field of image processing, microanalysis, deep learning, and medical imaging. Dr. Piché earned his Ph.D. at the École Polytechnique de Montréal.


Eric Fournier, Technology Lead

With a demonstrated track record of providing leadership in the demanding field of medical and scientific visualization, Eric Fournier is responsible for implementing technology strategies to ensure the continued success of the company's products. Mr. Fournier is recognized for motivating teams, meeting or exceeding operational metrics and deliverables, and providing world-class value.

Mr. Fournier holds a master's degree in fluid dynamics simulation and has created several applications for fluid simulation and scientific visualization. In addition to developing 3D engines and visualization tools, he also supervised the development of a commercial physics engine and an artificial intelligence module based on neural networks. The PC game company he founded in 2000 was nominated for the best technological innovation at the MIM 2001.


ORS logo

ORS logo

Other sizes and formats available upon request.


Dragonfly logo

Dragonfly logo

Other sizes and formats available upon request.


Please include the appropriate credit whenever you download and publish any of the following screenshots or images.


Dragonfly workspace with 3D rendering

Description: Dragonfly 2020.1 workspace with a 3D rendering of a segmented ceramic matrix composite.
Credit: Dataset courtesy of Aly Badran, University of Colorado.


Segmentation of a ceramic matrix composite

Description: Ceramic matrix composite segmented with Deep Learning.
Credit: Dataset courtesy of Aly Badran, University of Colorado.


Dragonfly workspace with segmented fish head

Description: Dragonfly 2020.1 workspace with a 3D rendering of a segmented fish head (Polypterus) with descriptive captions.
Credit: Dataset courtesy of Hans Larsson, McGill University.


Dragonfly Bone Analysis wizard

Description: Bone Analysis wizard for Dragonfly 2020.1.
Credit: Object Research Systems (ORS) Inc.
More info: https://theobjects.com/dragonfly/bone-analysis.html


Anisotropy mapping as a vector field

Description: Anisotropy mapping as a vector field in Dragonfly's Bone Analysis wizard.
Credit: Object Research Systems (ORS) Inc.
More info: https://theobjects.com/dragonfly/bone-analysis.html


3D rendering of a femur

Description: 3D rendering of a femur.
Credit: Dataset courtesy of TESCAN.


Segmentation Wizard for Dragonfly 2020.1

Description: Segmentation Wizard, first introduced in Dragonfly 2020.1, for WHAT.
Credit: Object Research Systems (ORS) Inc.


Retina cell segmented with Deep Learning

Description: Retina cell segmented with Deep Learning.
Credit: Dataset courtesy of Christopher Bleck, National Institutes of Health (NIH)


Segmentation of a metal alloy

Description: Segmentation of the primary and secondary phases of a new metal alloy.
Credit: Dataset courtesy of Piotr Bala, AGH UST


Three-phase boundary graph of a fuel cell

Description: Three-phase boundary graph of a fuel cell.
Credit: Dataset courtesy of Aaron Stebner, Colorado School of Mines


3D rendering of a soybean

Description: 3D rendering of a soybean.
Credit: Dataset courtesy of Keith Duncan, Donald Danforth Plant Science Center


3D rendering of a Gothic wooden prayer bead

Description: 3D rendering of a Gothic wooden prayer bead.
Credit: Dataset courtesy of the University of Western Ontario


June 16, 2020
ORS Unveils Dragonfly 2020.1 - Putting Deep Learning at the Fingertips of Imaging Scientists Everywhere

Powerful New Dragonfly Release Strengthens Deep Learning Initiative for Improved Scientific Image Analysis
Read more…


Nicolas Piché
Object Research Systems (ORS) Inc.
1.514.843.3861 ext. 203