We are pleased to announce that the Founding Editor-in-Chief's APD lab won Bronze in the inaugural Merck Connectivity Challenge, a new challenge by a large pharma recognizing the importance of smartphone apps and IoT devices in daily laboratories and how they can enable and improve them. A number of the apps in the winning solution are published in this journal itself! This demonstrates that the vision behind setting up the journal is now gaining traction and recognition after a good number of years.
For articles that were published before 31st March 2018, please refer to Springer Nature website at https://scientificphoneapps.springeropen.com.
New articles will be published here with effect from 1st April 2018.
Scientific (Phone) Applications and Mobile Devices is a peer-reviewed open access journal published under APD SKEG Pte Ltd. The first specialized journal in this field, it publishes highquality scientific reports on mobile apps and smartphone dependent devices such as add-on sensors or modifications. Allowing for not only academic recognition for the broader scientific community, it also brings awareness to the general public on the development of such tools.
Wu WL et al
Published on 08 September 2021
Handwashing is a basic infection control practice that needs to be performed correctly to be effective. In the ongoing COVID-19 pandemic, its correct practice is emphasized by public health institutions. However, turning a practice into a habit requires acceptance for adoption of the twenty-second proper procedure to which difficulty remains. To promote and convince the average user, we developed the “APD Handwash app” as a home-use demonstration/education tool to the pitfalls and need of proper handwashing practices through the detection of assigned clean or dirty areas on the hand in a quantitative manner to provide a gauge to the effectiveness of washing when used before and after washing.
Chew ZY et al
Published on 17 March 2021
Amidst rapid diagnostic kits, reverse transcription loop-mediated isothermal amplification (RT-LAMP) has emerged as a rapid point-of-care testing (POCT) method during the COVID-19 pandemic. While many POCT kits rely on plate readers or visual classifications, these processes require experienced staff, and with the use of plate readers, the need for peripheral equipment and infrastructure as well. To address the gap and ensure objectivity in colorimetric POCT kits, the Automated Product Determination (APD) LAMP Diagnostic App was developed for automatic colorimetric analysis of single to multiple LAMP samples. Leveraging on the smartphone camera, barcode-based documentation feature, and a colour distance formula, the app algorithm calculates RGB values, labelling samples as “positive” when yellow, “negative” when pink, and “unknown” when orange. The APD Lamp diagnostic app for Android hereby demonstrates the integration of smartphone apps in POCT kits and ways the smartphone revolution changes laboratory processes to be timely and on-the-go.
Liew KC et al
Published on 17 September 2020
Surveys are an instrumental way in which researchers and scientists can gather data. With increasing reliance of digital solutions, manual surveys utilizing pen and paper are increasingly rare in the technologically connected world. Previously, we released the PsychVey web application platform to facilitate easy management of surveys for faster, more convenient and secure data collection. In the new PsychVey Ver.2, there is now a new user interface, automated email notification, auto-marking, display of pictures, uploading of documents and an improved search feature. To allow cross-platforms, PsychVey Ver2 has improved mobile-browser compatibility and speed.
Gan SKE et al
Published on 14 April 2020
The SARS-CoV2 pandemic of year 2020 caused unprecedented disruptions globally. With lockdowns implemented in many countries, scientific research such as biomedical sciences, experienced major disruptions including in the supply chains of research materials.
Ong NB et al
Published on 19 February 2020
With the multitude of academic reports published daily, ever-increasing reference formats and styles, it has become cumbersome for academics and researchers to create references and read all relevant publications. To alleviate these problems, the “Antibody & Product Development Lab (APD) Reference App” was created for easy reference search, and citation in different formats by using Optical Character Recognition (OCR) to capture the Digital Object Identifier (DOI) or title of a publication. Following this, users can easily retrieve, browse, and read translated summaries of the articles of interest. Incorporating Natural Language Processing (NLP), the app is available on both Google and Apple app stores with trials available for paid features.