Jetraw unlocks the true power of raw image data without over-saturation of IT infrastructure

Compression with full image information retention with reliable results for high volume data sets

Jetraw makes raw image data management easier. Compressed files are smaller, faster and prepared for AI based analysis

Targeted and optimised for AI

No artefacts
No filtering
No degradation to the image quality and information content

Speed performance

200 MB/sec/core performance power

Compression performance

5 to 10x compression ratio
Free decompressor

Workflow integration

A line of code to register our DLL

Matlab support in Jetraw raw image compression software

Fiji support in Jetraw raw image compression software

Java compatibility with Jetraw raw image compression software

Python compatibility with Jetraw raw image compression software

Operating systems

Jetraw is not a file format, but rather a codec that can be registered with any file format supporting existing codecs

Supported formats

TIFF (biology)
DICOM (medical)
DNG (aerial)

Supported cameras

Teledyne Photometrics Kinetix

Photometrics 95B

Andor Zyla 4.2, 4.2P

PCO Edge series

PCO Panda series

Hamamatsu Orca Fusion

Hamamatsu Orca Fusion BT

Hamamatsu Orca Flash 4.0, V3, and V2

What they say

“Storing and processing large volumes of microscopy images capturing days and weeks of organoids and embryos development is challenging. Dotphoton compression enables our customers to store data more efficiently and focus resources on science and discoveries instead of data management.”

Petr Strnad
CEO of Viventis Microscopy

Requirements

CPU

AMD/Intel x86-64, Apple M1

Windows 10

macOS 10.15

Linux with glibc 2.17 or newer (e.g. CentOS 7.6, Ubuntu 13.04)

Camera

CMOS or CCD
Conversion gain > 0.3 dn/electron
12 to 16 bits per pixel
Monochromatic or Bayer-type color filter array
(Dotphoton will provide a camera calibration file based on specsheet and/or sample data)

Performance

Compression ratio

5—10, depending on image content and camera

Fidelity

Preparation: -1.2 dB SNR independent of image content

Compression/Decompression: Lossless

Jetraw is a metrologically accurate compression algorithm. The small uniform SNR reduction is enforced through strictly bounded, unbiased and uncorrelated errors, guaranteeing optimal results for machine vision and scientific applications.

Lossy

Visually lossless

Limited-error

Metrological

Lossless

Loss invisible to the eye

✓

Errors boundend (single-pixel)

✓

Errors are independent

✓

Errors are unbiased

✓

No artefacts

✓

Indistinguisheable from raw

✓

Bit accurate

✓

Embedded noise model

✓

Typical compression ratio

7:1

5:1

7:1

1.5:1

Typical compression speeds

★★★

★

★★

★★★★

★

Examples

JPEG

JPEG-2000

B3D, LERC, CCDS

Jetraw

LZW, FLIF

Compression speed

Software provided

Jetraw UI (included on Windows and macOS. Available for Linux)

Command line utilities for conversion of TIFF files

Shared dynamic libraries and header files for custom development and integration

Plugins and modules for Python, Matlab, Fiji, Labview, etc. freely available