Works with the cameras you have
USB3 Vision and GigE Vision cameras, USB microscope and eyepiece cameras, webcams, the Mac's built-in camera, and iPhone through Continuity Camera.
Overview
@Cam by @Graph is a native macOS application for live view, measurement, and capture with microscope cameras. Connect a scientific camera or an inexpensive USB microscope camera, and @Cam recognizes it, shows only the controls it actually has, in plain language, and turns it into a complete imaging station.
Features
Only the controls your camera has
Exposure, gain, white balance, focus, resolution, and frame rate, with friendly labels. Features a camera lacks stay out of the way.
A clear, adjustable image
A live histogram with draggable black and white points and a bendable curve, plus false-color tables, including an emission-wavelength (λ) slider for fluorescence.
Corrections built in
Shading correction for uneven lighting, white balance from any white or gray area, and rotation and flipping for eyepiece cameras.
Focus with confidence
A focus meter, focus peaking that highlights sharp edges, and focus stacking for an all-in-focus image of thick specimens.
Measure and annotate
Calibrate once with a stage micrometer, then measure lengths, angles, and areas in micrometers, count cells, and add labels and arrows. Copy results into @Graph or @Stat.
Scale bar that's always right
A round-length scale bar calibrated for each camera, black or white for contrast, and stored in raw TIFFs for ImageJ/Fiji.
Capture everything
Raw 8- or 16-bit TIFF or images as displayed, frame averaging, time-lapse with movie and TIFF stack, and movies in H.264, HEVC, or ProRes.
Two cameras at once
Side by side, picture in picture, or merged with a slider, such as fluorescence over brightfield. Merge captured channels into one color image.
Ready for the classroom
Present the live image full screen on a projector or second display, with the scale bar and annotations.
Bring your own SDK
A camera @Cam has no driver for? A small bridge program, on your Mac or across the network, serves it to @Cam using the maker's own software. The protocol and a Python starting point come with @Cam.
Native for macOS
Built for Apple silicon, with smooth live view and a modern macOS experience in Dark, Light, or System appearance.
Part of the @Graph family
From @Graph's makers: measurements paste straight into @Graph and @Stat spreadsheets for analysis and charts.
User Guide
Getting started, each tab, calibration, snapshots and movies, measuring, mosaics, Shortcuts and troubleshooting: the complete @Cam User Guide, the same guide as Help › @Cam User Guide in the app.
Privacy Policy
@Cam does not collect, transmit, or store any user data. The live image, your captures, and your measurements stay on your Mac. Network access is used only to talk to GigE Vision cameras on your local network.
Support
@Cam is developed by AtGraph LLC. For bug reports, questions, or feature requests:
Support@atgraph.app