The MiraiBio Group of Hitachi Solutions launched ReaderFit.com today for all users that registered at the pre-launch site. ReaderFit.com will be available to the public on May 16th, 2011 and will be featured in the Hitachi booth at the Immunology 2011 conference in San Francisco (May 14-16).
ReaderFit.com is a free online curve fitting application that allows users to both fit curves and optionally interpolate unknown values off the curve. Users upload response and independent values and then choose from one of 6 model equations: 4PL, 5PL, Quadratic, Log-Logit, Log-Log or Linear and one of four optional weighting algorithms: 1/Y, 1/Y2, 1/X and 1/X2. The resulting curve image and calculated results can then be easily exported from the web application.
Although ReaderFit.com is brand new, the algorithm behind the calculations has been in development for more than 8 years. MasterPlex™ QT and MasterPlex ReaderFit are 2 desktop products offered by Hitachi Solutions that use the same algorithm. “We want users to understand that the calculations in ReaderFit.com are generated from the same algorithms used in the MasterPlex products. We have developed, improved and maintained these algorithms for the last 8 years and MasterPlex is used in many labs across the world. Not only are the algorithms the same, it is the same exact software code!” says Allen Liu, one of the lead developers of ReaderFit.com at Hitachi Solutions.
“We see ReaderFit.com as a way to offer the value of the MasterPlex desktop products to customers who don’t necessarily need the full desktop applications. Most importantly ReaderFit.com allows us to offer this value across platforms and devices. All you need is a web browser to use the tool,” added Robert Lynde, Deputy Director of the MiraiBio Group of Hitachi Solutions.
Robert Lynde went on to hint that more services will be added this year for users who like the convenience of a web-based, OS-independent tool but need more advanced features. Visit ReaderFit.com to create your free account and try the tool. We’d love to hear your comments below.