Monday, May 09, 2022

Dotphoton and Hamamatsu partnering on raw image compression

From Novus Light news:

Dotphoton, an industry-leading raw image compression company and Hamamatsu Photonics, a world leader in optical systems and photonics manufacturing, are pleased to announce their new partnership. Modern microscopy, drug discovery and cell research are among the many applications that rely on the highest quality image data.

Hamamatsu, a renowned scientific camera manufacturer, provides the ultimate image quality needed for scientific research and pharmaceutical industry in fields such as light-sheet microscopy, high-throughput screening, and histopathology. In these applications, the generation of large volumes of data leads to low scalability and high costs and complexity of required IT infrastructure.

This new partnership enables researchers to capture and preserve higher volumes of quality data, and to make the most of modern processing methods, including AI-based image processing.

“In industry and academia, storage budgets grow exponentially every year, the increase of datacenter costs and its CO2 impact reduce the amount of resources available for research. We have built Jetraw to address all these problems at once, and are very happy to partner with Hamamatsu Photonics to make large image data more reliable and sustainable, and help many wonderful discoveries to happen”, says Eugenia Balysheva, CEO of Dotphoton.

Hamamatsu offers advanced imaging technology on the forefront of the development of new and existing scientific applications. Today, Hamamatsu’s ORCA cameras are compatible with Dotphoton’s Jetraw software. Thanks to this new partnership, Hamamatsu will be able to support customers in their data management, an additional benefit to the high-sensitivity, fast readout speeds, and low noise delivery of its scientific CMOS cameras. The Jetraw software provides the highest raw image compression ratio in the market combined with the highest processing speed. That means that Hamamatsu camera users can benefit from the fully preserved raw image data without constraints linked to storage and data transfer speed. Jetraw enables reduction of storage costs by 80%, CO2 emissions by 73%, and data transfer speed by 5-7x. 

Jetraw software is available for the range of Hamamatsu ORCA cameras, and can be purchased at the website. Jetraw is compatible with most popular image processing workflows and enables long-term scalability and reliability of image processing.

Original article published here:


  1. Hi Atul, please share about this knowledgeable article,

    A trend in #imaging is a move away from human perception towards application-specific consumption by some form of computing. Really, why should an image look 'good' when it'll be fed into a deep CNN? Accordingly, the optics development of the camera systems themselves are taken into account in an end-to-end optimization. The following article gives a great overview over the whole field:

  2. Thanks, Vipul. I'll share that paper on the blog. The argument for "not try to make an image if it's going into a DNN anyway" is quite appealing. However, I would argue that are still advantages in capturing as clean an "image" as early in the signal-processing pipeline as possible. [I use the word image loosely, not specifically tied human consumption.] Relying too heavily on black box end-to-end approaches don't work for all applications due to lack of large datasets in some domains, issues of domain shift, generalizability, and unintended training dataset biases. (I need to read the the paper carefully, but maybe they make this point too.)


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