What CellCount reads, what it returns, and what it runs in. Every figure here is the one printed on the validation page, and every setting is the one the product offers.
JPEG, PNG, TIFF
HEIC and HEIF photos are converted to JPEG in the browser on Safari and iOS, the only browsers that can decode them; elsewhere, export the photo as JPEG first.
The camera’s full resolution
Frames under about 2,000 px on the short side are too small to count reliably. Images are uploaded as captured: nothing is resized on the way in, because resizing moves the count and compression does not.
Improved Neubauer hemocytometer, bright-line ruling
One full 1 mm square, with all four corners, in the frame. The rulings in the image are what the scale is measured from.
Trypan blue
Clear cells are counted live, blue cells dead.
Rulings crisp; detail kept in both the bright and the dark areas
A USB microscope camera, counting live in the browser
The recommended setup. Ask us for a plug-and-play camera matched to your scope.
A photo from a modern phone held to the eyepiece; no adapter
JPEG, PNG, TIFF files, one at a time or a whole folder
Including the raw frames an automated counter exports. Raw frames, not the instrument’s overlay images.
Up to 18 images of one biological sample
Results are given per image and pooled for the sample.
Any factor; presets up to ×20; one part sample to one part trypan blue is the default
Which squares of the chamber’s 3 by 3 grid are counted
High, Balanced, Low
High for small cells such as yeast; Balanced for most samples, including mammalian cells; Low when only confident detections should count.
A minimum and a maximum equivalent diameter in micrometres, or off
Anyone on the team can create a protocol; every count in the lab follows the one it was made under
The same protocol runs on a chamber image and on a counter’s exported frames.
Protocols are versioned; a count records the version it followed
Live and dead counts, with every detected cell marked on the image
Cells per mL, from the grid measured in the image and the dilution
The live share of counted cells, in percent
A cell-size histogram pooled over the sample, with the gate drawn on it
Add a missed cell, delete a wrong one, flip live to dead, re-run at another sensitivity
Nothing is final until the person who knows the sample accepts the count.
By a named, signed-in user (their email), at a stated time
The counts, the grid, the dilution, the protocol with its sensitivity and gate, the model version, the acceptor and the time
A SHA-256 digest computed over the record’s exact bytes, stored with it and served with it
Anyone holding the record later can recompute the digest and confirm nothing changed since acceptance.
Sample result, size distribution, per-image table, method, software, statistical analysis, and an appendix of the counted frames with their overlays
Names who accepted the sample and when. Opens in the browser and prints to PDF.
A zip with the original images, the annotated images, the canonical frames and the per-image results as CSV, plus a manifest and a README
For the lab’s own archive; the count can be reviewed later without the app.
Under 30 seconds per twelve-megapixel image
98.7% on 2,682 held-out cells, scored against expert annotation
Concordance 0.91 on concentration over 16 images; the same live-or-dead call on 95% of 6,765 cells
The method, the data and every number are kept with the study and are available on request.
Current Chrome, Edge and Firefox; Safari 15 or newer; iOS 15 or newer
Needs WebGL2. Nothing to install.
Laptop or desktop at the bench, tablet, or phone
How data is handled is set out in the Privacy Notice and the Terms of Service, and institutions can read the Enterprise Terms. The legal entity on every agreement is Lowkey Vision AS.