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The feedback I have received over the years has of course been integrated into the further development. That Bionic Reading helps people with dyslexia I received directly from the people concerned. It has not been explicitly tested whether it is helpful for people with dyslexia or not. But of course there were also probands who found the effect disturbing. But it can be said that the majority had a positive effect. The experiment was independent and carried out by the Swiss University. There was a text without BR and a text with a fixed setting (1 variant) with Bionic Reading. It was tested whether reading on the screen is better with Bionic Reading or not. The preliminary study consisted of 12 probands who did not know Bionic Reading. The Swiss Institute InnoSuisse supported me and donated an amount for this preliminary study. This spring I was allowed to do a small preliminary study with a Swiss University. Now it is 6 years that I have been working on Bionic Reading. In spring 2020 I put all my efforts on one card and worked 100% for Bionic Reading. And of course, through the experience of the still very many options I have developed, which I want to implement step by step in Bionic Reading. So that each reader can use their own reading setting. What looks so simple now is based on a matrix I designed to make Bionic Reading available as an individual reading method.

I did my work in the family business during the day and worked on Bionic Reading in the evening and at night. Only in 2016 I started to develop Bionic Reading. The idea of Bionic Reading was born already in 2009, during my studies to become a typographic designer. And I spent a lot of money because I believe in the idea and the benefit for people.
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Werner von Siemens says: “It does not matter, his head against to run the wall, but with the eyes to find the door.”īionic Reading is not a big company. Bionic Reading consists of me, Renato Casutt, and 2 super cool guys who support me with their know-how in software development. I didn’t take money from investors but invest everything from my income. Also all of you who are copying Bionic Reading and putting it out there for your idea. Please read the whole text so you understand who and what Bionic Reading is.


If you upgraded to El Capitan and your Java 8 installation is not being detected properly: Unfortunately, El Capitan has some new java-related issues. If you have difficulties, please post on the Image.sc Forum.Īt any time, you can verify which Javas are installed on your system using this script. However, ImageJ should work OK with Java 8.
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It is unfortunately no longer feasible to install Apple Java 6 on current versions of macOS. See also the Frequently Asked Questions page. this JDK bug discussing the issue.Īs a workaround, you can check "Use JFileChooser to open/save" in the Edit › Options › Input/Output. On macOS 10.11 "El Capitan" and later, the operating system no longer includes a title bar for file chooser dialogs. If you find a solution that works, allowing ImageJ to run fast in the background, please tell us on the forum!) (There are also various ways to disable App Nap on your machine, but we have not had much success with them. Leave ImageJ in the foreground while it is processing to avoid this issue. On recent versions of OS X-10.9 "Mavericks" and later-there is an "App Nap" feature which dramatically slows down applications that are not in the foreground. Make sure you are using the latest version of Java 8, as well as the latest version of ImageJ.
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There is a bug in Java 8 on MacOS which causes the application to drastically slow down as many windows are opened and closed over time.
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You should either upgrade to the latest version of Java 8, or revert to Java 6 (see "Frequently Asked Questions" below). On OS X, older versions of Java 8 (prior to 1.8.0_45)-as well as all versions of Java 7 (including 1.7.0_80)-are extremely slow at displaying images. There are several reasons ImageJ can run slowly on macOS. ImageJ becomes very slow after running for a while See also the Java 8 page for OS-X-specific issues. 2.2 No title bar in file chooser dialogs.2.1 ImageJ becomes very slow after running for a while.
