Image Analysis Software | Media Cybernetics
Image-Pro® Version Comparison
| 基本功能 | 2D 影像擷取 | 2D 影像量測 | 2D 自動影像分析 | 3D 視覺化影像分析 | AutoQuant Deconvolution | Analysis Protocols | AI Deep Learning |
| v11.1 | v11 | v10 | v9.1-9.3 | v9 | v7 | |
|---|---|---|---|---|---|---|
| Image Management & Display | ||||||
| Image & MetaData Management | ||||||
| File Format Support for 65+ file types and Meta Data/Calibrations |  |  |  |  |  |  | 
| Optical Lens & Dye Libraries – Save characteristics to meta data |  |  |  |  |  |  | 
| Set Import / Multi-Dimensional Builder |  |  |  |  |  |  | 
| Full Screen ‘File’ menu view |  |  |  |  |  |  | 
| Channel Management – Save unique characteristics per channel |  |  |  |  |  |  | 
| Views & Overlays | ||||||
| Annotation Tools (Text, Arrows, Shapes, etc.) |  |  |  |  |  |  | 
| Timelapse Movie & Surface Views |  |  |  |  |  |  | 
| Multi-Dimensional Views (Slide Scan, Mosaic, Compare, Bitmap, Slicer, 3D Voxel) |  |  |  |  |  |  | 
| ROI (Region of Interest) drawing & Management |  |  |  |  |  |  | 
| Well Plate Viewer |  |  |  |  |  |  | 
| Color-Coded Well Plate Heat Maps |  |  |  |  |  |  | 
| Processing & Adjustments | ||||||
| Image Adjustments | ||||||
| Pseudo-Color by gray level & Tint by Probe/Dye list or RGB/White |  |  |  |  |  |  | 
| LUT’s, BCG, B&W Levels, & Histogram stretching |  |  |  |  |  |  | 
| Image Filters – 2D & 3D Morphological, Enhancement, Edge, and Large Spectral Filters |  |  |  |  |  |  | 
| Image correction – Background subtraction and correction |  |  |  |  |  |  | 
| Resize, Rotate, Resize canvas |  |  |  |  |  |  | 
| High Dynamic Range (HDR) image creation – Post process |  |  |  |  |  |  | 
| Align, EDF, Tile & Stitch | ||||||
| Auto Align images – For Z stacks or time sequences |  |  |  |  |  |  | 
| Extended depth of field (EDF) |  |  |  |  |  |  | 
| Auto Tile images |  |  |  |  |  |  | 
| Auto Shading Correction across individual tiles & entire mosaic |  |  |  |  |  |  | 
| Usability | ||||||
| User Layout Customization | ||||||
| Floating, Docked, or Full screen window modes |  |  |  |  |  |  | 
| Views & Layouts Saved per User |  |  |  |  |  |  | 
| AutoRecover unsaved or modified images |  |  |  |  |  |  | 
| Dark Mode Setting – For usage in dark environments |  |  |  |  |  |  | 
| Customizable Auto Shutdown Timer with AutoSave |  |  |  |  |  |  | 
| Pinned Panel dock – For organizing multiple open panels |  |  |  |  |  |  | 
| Search & Help | ||||||
| Helpful Feature Documentation |  |  |  |  |  |  | 
| Universal Search across Recently Used items & Help topics |  |  |  |  |  |  | 
| Dockable & Dynamic Help panel for easy access to Documentation |  |  |  |  |  |  | 
| Licensing | ||||||
| License “Linked” to USB License dongles |  |  |  |  |  |  | 
| Flexible License Linking/Unlinking to Computer or License Server in addition to USB dongles |  |  |  |  |  |  | 
| Online License “Bundle” management – Control module configuration per base product |  |  |  |  |  |  | 
| Data Analytics & Reporting | ||||||
| Data Collection & Display | ||||||
| Collect 40+ measurements from one or multiple images using any data source available |  |  |  |  |  |  | 
| Export from Data Collector to Reports, Microsoft Excel, CSV, or text file |  |  |  |  |  |  | 
| Create custom measurements to collect using the equation editor |  |  |  |  |  |  | 
| Flexible Data tables, Statistics, and Graphs – Sort, Filter, Condense, or Group by Class |  |  |  |  |  |  | 
| Display Data using Heat Maps |  |  |  |  |  |  | 
| Display annotated images in Data Table along with statistical data |  |  |  |  |  |  | 
| Reporting | ||||||
| Report creation with layout, text formatting, images, data tables, and graphs |  |  |  |  |  |  | 
| Save Reports as PDF, Word, HTML, or Rich Text |  |  |  |  |  |  | 
| Auditing & Authentication | ||||||
| Audit Trail – For tracking user actions across the entire application or per image |  |  |  |  |  |  | 
| Image and file signatures – For creating unique “fingerprints” to check authenticity |  |  |  |  |  |  | 
| Track usage across multiple sessions over time |  |  |  |  |  |  | 
| Export data to Excel or File |  |  |  |  |  |  | 
| Scripting & Automation | ||||||
| Intelligent macro recording & editor with command recognition |  |  |  |  |  |  | 
| Graphical Macro programming tools with App builder |  |  |  |  |  |  | 
| Batch process (with folder monitoring) |  |  |  |  |  |  | 
| 2D Measurements | ||||||
| Direct, Best Fit, & Relative | ||||||
| Manual tag, Measure Point-to-point, pitch, polygon, rectangle, circle, polyline, angle |  |  |  |  |  |  | 
| Best Fit measurements – For finding approximate measurements by ‘fitting’ circles, arcs, & lines to objects |  |  |  |  |  |  | 
| Measure Relative Distances – For measuring between object centers, minimum, maximum |  |  |  |  |  |  | 
| Auto Trace Edges – For automatically drawing lines and polygons along edges |  |  |  |  |  |  | 
| Auto Snap to Edge – For snapping to (straight edge, any edge, line length, line edges, along edge, circle) |  |  |  |  |  |  | 
| Measure on a Live Preview Image (Requires 2D Capture Module) |  |  |  |  |  |  | 
| Polygon Adjustment Options – Nudge, Grow/Shrink, Close/Merge |  |  |  |  |  |  | 
| Magic Wand & Auto-Find Lines, Circles, Irreguar Objects |  |  |  |  |  |  | 
| Line Profile (Caliper) & Edge Detection | ||||||
| Draw Line Profiles as lines or polygons manually or with AutoTrace |  |  |  |  |  |  | 
| Detect intensity “edges” manually or automatically under the line – Peaks, Valleys, Rising, Falling |  |  |  |  |  |  | 
| Display measurements as a graph, measurements table, or Statistics Table |  |  |  |  |  |  | 
| Define unique intensity patterns to allow for autodetection under line |  |  |  |  |  |  | 
| Group “edges” into classes – Name and color code |  |  |  |  |  |  | 
| Color | ||||||
| CIE L*a*b* Color Measurement – For measuring colors under cursor & extracting channels as mono images |  |  |  |  |  |  | 
| sRGB and Color Profiling Methods for defining color measurements |  |  |  |  |  |  | 
| Digital Color Correction – Adjust one image by a reference (image or color transform from points) |  |  |  |  |  |  | 
| Classification | ||||||
| Single Variable classification – Auto-classify objects evenly into bins based upon a single measurement |  |  |  |  |  |  | 
| Assign unique colors to objects by class |  |  |  |  |  |  | 
| Adjust measurement overlay appearances by class |  |  |  |  |  |  | 
| 2D Automated Analysis | ||||||
| AI Deep Learning Segmentation | ||||||
| Deep Learning Model Segmentation “Prediction” |  |  |  |  |  |  | 
| Model Training from untrained state |  |  |  |  |  |  | 
| Model Duplication & Refinement from existing trained model |  |  |  |  |  |  | 
| Model Import from community |  |  |  |  |  |  | 
| Support for various model architectures (CellPose, StarDist, UNET) |  |  |  |  |  |  | 
| Integration of AI Deep Learning Segmentation into Analysis Protocols |  |  |  |  |  |  | 
| Library of Pre-Trained Models: Life Science Models |  |  |  |  |  |  | 
| Library of Pre-Trained Models: Materials Models |  |  |  |  |  |  | 
| Free-Form Segmentation | ||||||
| Count / Size Manual Object Classification |  |  |  |  |  |  | 
| Auto Count Bright/Dark Objects |  |  |  |  |  |  | 
| Count / Size Sort – Displays objects in a grid sorted by a measurement |  |  |  |  |  |  | 
| Manual and automatic 2D object tracking tools |  |  |  |  |  |  | 
| Smart Segmentation: Machine learning-based |  |  |  |  |  |  | 
| Learning Classification: Training-based object classification |  |  |  |  |  |  | 
| Voronoi Maps: Distribution & nearest neighbors analysis |  |  |  |  |  |  | 
| Protocol-based Segmentation | ||||||
| Run on single file multi-positional (including multi-well) datasets or collections of individual images |  |  |  |  |  |  | 
| Bi-direction feedback between data tables & annotated images & charts |  |  |  |  |  |  | 
| Library of Protocol reports for both large datasets & single images |  |  |  |  |  |  | 
| Analysis Protocols – Essentials Collection (Objects within Objects, Object Count, % Area) |  |  |  |  |  |  | 
| Analysis Protocols – Cell Biology Collection (Apoptosis, Autophagy, Cell Count, Cell Morphology & more) |  |  |  |  |  |  | 
| Analysis Protocols – Cell Biology Advanced Collection (Angiogenesis, Colocalization, Neurite Outgrowth, & more) |  |  |  |  |  |  | 
| Analysis Protocols – Materials Collection (Particles, Pores, Particle Phase, Fiber Thickness, & more) |  |  |  |  |  |  | 
| 2D Image Capture | ||||||
| Camera Device Control | ||||||
| Digital Camera Control (Access on-device resolution, binning, framerate, etc.) |  |  |  |  |  |  | 
| Acquisition | ||||||
| Single frame & Time-lapse “Movie” acquisition |  |  |  |  |  |  | 
| Live EDF & Tiling |  |  |  |  |  |  | 
| High-speed streaming to disk |  |  |  |  |  |  | 
| Live Analysis (grids, compare, line measurements, counting) |  |  |  |  |  |  | 
| Live Image Compare & HDR |  |  |  |  |  |  | 
| Multi-Channel Capture | ||||||
| Light Source Device Control |  |  |  |  |  |  | 
| Acquisition of mixed multi-channel & transmitted light datasets |  |  |  |  |  |  | 
| Automated capture of multichannel image-set (w/ a supported multi-channel light source) |  |  |  |  |  |  | 
| Guided acquisition of multi-channel image-sets from a manual microscope |  |  |  |  |  |  | 
| Real-Time Deconvolution | ||||||
| 2D Real-Time Deconvolution integrated with Capture |  |  |  |  |  |  | 
| Wiener Filter-based algorithm |  |  |  |  |  |  | 
| 2D Iterative-based algorithm |  |  |  |  |  |  | 
| 3D Visualization & Analysis | ||||||
| 3D Visualization | ||||||
| 3D viewer with advanced control & volume rendering (Min & Max Projections) |  |  |  |  |  |  | 
| Clipping plane viewing |  |  |  |  |  |  | 
| Slicer viewing |  |  |  |  |  |  | 
| Simple Key Frame Animation movie making |  |  |  |  |  |  | 
| 3D Visualization of Big Data Sets | ||||||
| Big Data Visualization using GPU Processing – Opens Terabyte sized images |  |  |  |  |  |  | 
| Convert Large Image Sets Into Pyramidal Tiff for Big Data Visualization |  |  |  |  |  |  | 
| 3D Analysis | ||||||
| Iso-Surface based object analysis |  |  |  |  |  |  | 
| Automated 3D volume measurements |  |  |  |  |  |  | 
| 3D object based manual measurements on isosurfaces |  |  |  |  |  |  | 
| Guided Segmentation for complex samples |  |  |  |  |  |  | 
| 3D Co-localization of probes |  |  |  |  |  |  | 
| Volume “Pseudo-surface” based object analysis |  |  |  |  |  |  | 
| AutoQuant Deconvolution (Post-Acquisition) | ||||||
| Deblurring (No/Nearest Neighbor, Wiener Filter) |  |  |  |  |  |  | 
| 2D Fixed & Adaptive Deconvolution Algorithms |  |  |  |  |  |  | 
| Support of both Theoretical & Measured PSFs |  |  |  |  |  |  | 
| GPU Acceleration |  |  |  |  |  |  | 
| PSF generation for WF, CF, 2 Photon, Spinning Disk, & STED modalities |  |  |  |  |  |  | 
| Spherical Abberation Correction |  |  |  |  |  |  | 
| Batch Deconvolution |  |  |  |  |  | |
| License Server (for Network-based Licensing) | ||||||
| License Server for Network distribution of floating software licenses access |  |  |  |  |  |  | 
| Dynamic license access anywhere Image-Pro is installed on an internal network |  |  |  |  |  |  | 
| No dongle needed |  |  |  |  |  |  | 
| Bundles can be left as floating licenses or can be fixed to a single workstation |  |  |  |  |  |  | 
| Bundle assignment to License Server can be adjusted anytime as needed |  |  |  |  |  |  | 
| User time out returns license back to License Server |  |  |  |  |  |  | 
 
       
       
                                                             
                                                            




