Republication – APD Colony Counter App: Using Watershed Algorithm for improved colony counting
The counting of colonies to quantitate bacteria is an important process in labs for research, clinical diagnosis, and environmental monitoring e.g. in water. Generally counted manually, progress in technology has automated the process through colony counters that can be purchased but can be costly. While efficient, there remains also a challenge correctly detecting clustered colonies compromising inaccurate counts. Leveraging on the smartphone camera, we developed an app that processes images of colony plates and automatically counts them. To provide more accurate counts, the watershed algorithm with distance transform was incorporated into the segmentation and found to distinguish clustered or partially merged colonies better. This app, the APD Colony Counter app, thus transforms the smartphone into a portable colony counter, making the once laborious and tedious process manual colony counting, more accurate, automated and on-the-go.
Author: Wong CF et al <<< Published on: 23 December 2019
Republication – APD SpectBT: Arduino-based mobile vis-Spectrophotometer
Quantification of samples is an integral step in numerous biological and chemical experiments. Spectrophotometers are often used together with colorimetric assays that react with the compound of interest in the samples. However, spectrophotometers are often costly, bulky and immobile. To increase the convenience and ease the process of spectrophotometry, the APD SpectBT was developed using the Arduino-based platform to create a smartphone dependent mobile spectrophotometer. Through a Bluetooth® connection, users can use a micro-USB portable spectrophotometer and send the readings to the smartphone app to get visible light absorbance readings conveniently. With the portable SpectBT device and app, users can easily perform spectrophotometry on the go in the field and immediate environments conveniently and rapidly.
Author: Ng KM et al <<< Published on: 23 December 2019
Digitizing resilience: Feasibility of mobile applications for psychological research
Changes in technology have increased our capacity to interface with existing tools and measures in social sciences and healthcare research. Demands for increased accessibility and preference for flexibility in data collection have resulted in an influx of technological innovations and adaptations of existing tools. Yet, the usability of digital adaptations of self-reported measures have not been well studied. This research investigated the comparability and reliability of the empirically-validated Multi-System Model of Resilience Inventory through two modalities: an online survey platform, and a digital mobile application. User experiences of the mobile application in research was also studied. Implications of the findings for the use of digital applications in research in healthcare and social sciences are discussed.
Author: Liu JJW et al <<< Published on: 15 January 2020
Editorial: The promises of Microcontroller kits and Smartphone apps for Psychological research
Traditional psychological research relying on the fixed location laboratories and surveys are fraught with limitations. To an extent, these limits contribute to the serious problem of both poor reproducibility and poor ecological validity by constraining the geographical sampling of participant, affecting convenience and willingness. While this has been alleviated with the Internet revolution bringing along on-line surveys, the more recent Smartphone and microcontroller kit revolutions promise to break down the limitations even further. Drawing from examples of these revolutions in related disciplines, microcontroller kit revolutions can improve convenience and administration of psychological research, both survey-based and experimental.
Authors: Samuel Ken-En Gan and Joshua Yi Yeo Published on: 06 February 2020
App for Referencing with translations and summary: APD Reference App
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.
Author: Ong NB et al <<< Published on: 19 February 2020
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