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Joel T. Collins

Publications and source records attributed to Joel T. Collins.

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Modern Microscopy with the Web of Things: The OpenFlexure Microscope Software Stack

Automated and computerised control of scientific instrumentation is almost ubiquitous in the modern laboratory. Most instrumentation is controlled over decades old communication busses or is accessed via proprietary system libraries. This limits which languages and operating systems can be used to control instruments, and poses a significant problem when interfacing multiple instruments into the same experiment. Here we present the OpenFlexure Microscope software stack as an example of how a scientific instrument can be controlled using existing, cross-platform, language-independent, industry-supported standards. We split the control code into client and server applications interfaced via a web API that conforms to the W3C Web of Things standard. This enables simple control of the microscope from multiple languages, provides a modern graphical control interface, and minimises duplicated code. Network control also makes the software stack more robust, allows multiple microscopes to be controlled by one computer, and facilitates sharing of equipment between local or remote users. Using a Web of Things approach in research laboratories has the potential to solve many of the key challenges of experiment integration, using technology that is already well established.

physics.ins-det

Fast, high precision autofocus on a motorised microscope: automating blood sample imaging on the OpenFlexure Microscope

The OpenFlexure Microscope is a 3D printed, low-cost microscope capable of automated image acquisition through the use of a motorised translation stage and a Raspberry Pi imaging system. This automation has applications in research and healthcare, including in supporting the diagnosis of malaria in low resource settings. The plasmodium parasites which cause malaria require high magnification imaging, which has a shallow depth of field, necessitating the development of an accurate and precise autofocus procedure. We present methods of identifying the focal plane of the microscope, and procedures for reliably acquiring a stack of focused images on a system affected by backlash and drift. We also present and assess a method to verify the success of autofocus during the scan. The speed, reliability and precision of each method is evaluated, and the limitations discussed in terms of the end users' requirements.

physics.ins-det