Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning.

Background: Microscopic examination of Giemsa-stained blood films remains the reference standard for malaria parasite detection and quantification, but is undermined by difficulties in ensuring high-quality manual reading and inter-reader reliability. Automated parasite detection and quantification may address this issue.

Methods: A multi-centre, observational study was conducted during 2018 and 2019 at 11 sites to assess the performance of the EasyScan Go, a microscopy device employing machine-learning-based image analysis.

Automated liquid handling robot for rapid lateral flow assay development.

The lateral flow assay (LFA) is one of the most popular technologies on the point-of-care diagnostics market due to its low cost and ease of use, with applications ranging from pregnancy to environmental toxins to infectious disease. While the use of these tests is relatively straightforward, significant development time and effort are required to create tests that are both sensitive and specific. Workflows to guide the LFA development process exist but moving from target selection to an LFA that is ready for field testing can be labor intensive, resource heavy, and time consuming.

Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru.

Background: Microscopic examination of Giemsa-stained blood films remains a major form of diagnosis in malaria case management, and is a reference standard for research. However, as with other visualization-based diagnoses, accuracy depends on individual technician performance, making standardization difficult and reliability poor. Automated image recognition based on machine-learning, utilizing convolutional neural networks, offers potential to overcome these drawbacks.

Measuring effectiveness, efficiency and equity in an experimental Payments for Ecosystem Services trial.

There is currently a considerable effort to evaluate the performance of Payments for Ecosystem Services as an environmental management tool. The research presented here contributes to this work by using an experimental design to evaluate Payments for Ecosystem Services as a tool for supporting biodiversity conservation in the context of an African protected area. The trial employed a 'before and after' and 'with and without' design.

The role of evidence in humanitarian assessment: the Seed System Security Assessment and the Emergency Market Mapping and Analysis.

This paper reviews advances in the development and use of two evidence-based assessment toolkits: the Seed System Security Assessment (SSSA) and the Emergency Market Mapping and Analysis (EMMA). Both were created in the past five years and have been employed in a range of acute and chronic stress contexts across Africa, Asia, and parts of the Americas, in periods of civil strife, displacement, and drought, as well as following earthquakes, flooding, and political instability. The aims of this paper are threefold: to review advances with regard to each tool; to compare how each toolkit gathers and uses evidence, while considering possibilities for greater complementarity; and to reflect on the nature of 'evidence' used to guide humanitarian response in sudden-onset and chronic crisis situations.

A novel pressure-driven piezodispenser for nanoliter volumes.

A successful dispensing device has been built for use in biotechnology applications requiring nanoliter volume liquid transfer. Air pressure is used as the primary driving force and is controlled via a high speed miniature solenoid valve as opposed to many existing systems that use a valve in line with constantly pressurized fluid to start and stop the dispensing action. This automated pressure-driven system is used to improve a typical piezodriven microdispenser.

Measurement of the cell-substrate separation and the projected area of an individual adherent cell using electric cell-substrate impedance sensing.

This work presents an electrical technique called electric cell-substrate impedance sensing to measure the cell-substrate separation and the projected area of an individual adherent cell. Cell adhesion and cell spreading are fundamental processes of adherent cells. By recording changes in the cell-substrate separation, the projected area, or both properties with time, the dynamics of cell spreading and cell adhesion can be studied.