APR January/February 2022 - 64

» FORMULATION AND DEVELOPMENT
»
Figure 2. Connection of the Vendor Platforms
* Headwear integrated seamlessly with Apprentice online
portal - collecting balance data, barcode-scanned reagents/
instrumentation, images and transcribed notes.
» Annotated images using augmented reality was
possible for more informative illustrations
» Apprentice files in various formats were uploaded into
a Varya Iota notebook page - simple but not real time
with lab activities
* Varya's Iota had diverse data capturing options (text, photo,
video, audio/dictation) across MS365 programs using handheld
devices, including iOS and Android phones.
» Use of QR codes to link and open experiments on any
device, in any location, allowed real time collaboration
within and across functional areas
» Many options for data processing, collation and visual
interpretation within the ELN compared to standard
ELN reporting, e.g., Empower data (either raw data or
processed summaries) as a dynamic data source within
the platform
» Multiple data sources with dynamic linkages and
historical records are accessible within one ELN record
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| January/February 2022
The different vendor collection processes were individually assessed
before a combined experimental study was designed to leverage a full
study workflow, as shown in Figure 3. A full analytical experiment (response
factor determination/sample stability/robustness studies) was
successfully demonstrated by performing an analytical experiment
workflow that capture specific details of the activities and their results
including detailed individual sample preparation capture with video,
pictures, database linkage and combined dictation and keyboard entry
with Empower raw data chromatography collection. HPLC instrument
raw data outputs from the experiments were captured, documented
and processed using Microsoft Power BI within the Varya ELN.
Additionally, the results were presented as an interactive dashboard
that could be used in a group meeting setting or incorporated directly
into a presentation or summary report.
Through this endeavor, the team accomplished the objective by
demonstrating the feasibility of the use of wearables and integrating
with an ELN. We also recognized the future vision of using an ELN as a
data repository, for data integration and experimental records. Within
this we saw further opportunities as an immersive collaboration tool
when working in the lab, reviewing or processing data, and for direct
communication of results and conclusions.
Based on this experience, the team noted that the wearable and ELN
space is rapidly evolving and there are different capability levels both
APR January/February 2022

Table of Contents for the Digital Edition of APR January/February 2022
