The Ethnograph provides tools for the qualitative analysis of text, including coding, memo-ing, searching and filtering. Tools for peer-based coding and annotating of text, validation of human coding and measuring inter-coder agreement, machine learning and classification based on human interpretation, searching and filtering, visualisation and reporting.ĭiscovertext was developed by Dr Stuart Shulman and Mark J. DiscoverTextĭiscoverText is a cloud based application for the analysis of text and social media data that combines human interpretation and machine classification. SMS messages, interaction in virtual environments, GPS data, or data from body sensors, for example, may be imported into DRS, synchronised with conventional recordings, and be replayed alongside them. Distinctively, DRS also enables these conventional forms of recording to be combined with ‘system logs’, which record interaction within computational environments or are the product of using computational techniques to analyse data. Free and open source (no longer being developed or supported, but available to download)ĭRS enables the synchronisation, replay, and analysis of audio and video recordings.See our review of Delve (PDF) Digital Replay System (DRS) Delve is developed by Alex Limpaecher and LaiYee Ho who are based in New York City, USA It enables the code-based analysis of text and was explicitly designed to support inductive approaches to qualitative analysis, driven by human interpretation. It builds on tools available in its predecessor, EthnoNotes developed by Lieber & Weisner during their time at UCLA.ĭelve is an online qualitative analysis platform, developed from a ‘human-centered’ design perspective to enable the collaborative analysis of qualitative data with tools that are simple to learn and navigate. Dedoose was developed by Eli Lieber and Thomas S Weisner at SocioCultural Research Consultants LLC. Tools for organising, coding and memo-ing and a range of qualitative, quantitative and mixed-methods visualisations. It includes tools for measuring inter-rater reliability, adjudicating identified differences between coders, and reporting on the accuracy of codes and coders over time.ĬAT was originally developed by Dr Stuart Shulman at the University of Pittsburgh, and QDAP-UMass at the University of Massachusetts Amherst. CAT was first released in 2007 and has been hosted and maintained by Texifter LLP.ĬAT was decomissioned in September 2020 but the code is open source, so available for others to host a version Dedooseĭedoose was designed to facilitate qualitative and mixed methods analysis and to support collaborative research. Coding Analysis Toolkit (CAT)ĬAT is a free and open source platform for the coding and annotating of text data in teams. Originally developed by Thomas Muhr at the Technical University of Berlin, it is now developed by Scientific Software GmbH.ĪTLAS.ti Cloud was released in June 2018.ĪTLAS.ti version 9 was released in September 2020. & Mobile Aps for iPad and AndroidĪTLAS.ti provides tools for the qualitative analysis of textual, graphical, audio and video data, providing coding, memo-ing and query functionality along with sophisticated hyperlinking tools and semantic networking. Increased TAMs is associated with angiogenesis and higher histopathological grades in oral cancer. Linear regression analysis revealed a positive correlation between the area percentage of CD68 immunoreactivity and the MVD in the studied tumors. Both parameters increased in high-grade malignancy of OSCC. The area percentage of CD68 immunoreactivity and microvessel density (MVD) were significantly lower in OVC compared with the different grades of OSCC (P = 0.0009), (P = 0.0045). TAMs were observed in all studied specimens. TAMs shown by immunohistochemistry for CD68 and microvessels demonstrated by immunohistochemistry for CD31 were quantified using an image analyzer computer system. The association between TAMs and angiogenesis was investigated in formalin-fixed, paraffin-embedded archival material of oral squamous cell carcinoma (OSCC) and oral verrucous carcinoma (OVC). Tumor-associated macrophages (TAMs) are a major cellular component of human cancers, yet there is still no consensus as to their role in cancer growth and angiogenesis.
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