iLAP

An application that combines experimental protocol development with micro-biology related data analysis into one single, integrated system
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iLAP Ranking & Summary

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  • Rating:
  • License:
  • GPL
  • Publisher Name:
  • Institute for Genomics and Bioinformatics
  • Operating Systems:
  • Windows All
  • File Size:
  • 161 MB

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iLAP Description

Modern biology confront scientists with the daunting challenge of storing heterogeneous data in a structured and organized way. Among the available data management solutions there is no intuitively usable system which covers the complete work flow of microscopy experiments. iLAP (Laboratory data management, Analysis and Protocol development) is a software that was created in order to provide a solution that combines experimental protocol development, wizard-based data acquisition and high-throughput data analysis into one single, integrated system. A unique feature of iLAP is that it supports the experimental design phase. The working protocols that scientists develop for wet lab experiments can be stored and modified within iLAP. Eventually, these protocols lead to the acquisition of image data. iLAP then provides a data acquisition wizard to assist the scientist in associating the acquired image data with steps in the protocol. Standardization initiatives, such as MISFISHIE for DNA fluorescence in situ hybridization, can be supported by enforcing the input of required parameters during this data acquisition. Further processing and analysis of the raw image data can be performed either with analysis modules developed specifically within iLAP or with external third party programs. Interesting visual observations can be documented as notes at any place. iLAP is an open source project which is freely available for the microscopy community. It has been tested extensively in our in-house microscopy facility and continuous user feedback has led to improvements in functionality, usability and responsiveness. A distinctive virtue of iLAP is that it inherently leads to structured recording of experiments, conserving the complete experimental context of data records throughout the history of the research project.


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