HardwareX最新文献

{"title":"Customizable large-scale HPLC fraction collection using low-cost 3D printing","authors":"William J. Crandall ,&nbsp;Marco Caputo ,&nbsp;Lewis Marquez ,&nbsp;Zachery R. Jarrell ,&nbsp;Cassandra L. Quave","doi":"10.1016/j.ohx.2024.e00612","DOIUrl":"10.1016/j.ohx.2024.e00612","url":null,"abstract":"<div><div>High-performance liquid chromatography (HPLC) is an invaluable technique that has been used for many decades for the separation of various molecules. The reproducible collection of eluates from these systems has been significantly improved via its automation by fraction collection systems. Current commercially available fraction collectors are not easily customizable, incompatible with other platforms, and come with a large cost barrier making them inaccessible to many researchers. Here we present the efficient construction of a low-cost customizable fraction collector that can easily be paired to any HPLC system. Notably, it supports significantly larger volumes for collection than commercial alternatives. Using a hobbyist-grade three-dimensional (3D) printer (Creality Ender 3 Pro) and aluminum extrusions, the fraction collector can be built for less than $280 USD. An additional graphical user interface (GUI) enables simple programming of the collection methods, requiring no coding experience to operate the collector. The presented fraction collector can be highly customized and use collection vessels as large as 470 mL (80x), facilitating repeated collection at a preparatory scale. The use of this platform will increase the reproducibility of scalable and iterative fraction collection methods while removing the cost barrier and allowing for a high degree of customizability.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"21 ","pages":"Article e00612"},"PeriodicalIF":2.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated entrance monitoring to investigate honey bee foraging trips using open-source wireless platform and fiducial tags","authors":"Diego Penaloza-Aponte ,&nbsp;Sarabeth Brandt ,&nbsp;Erin Dent ,&nbsp;Robyn M. Underwood ,&nbsp;Benedict DeMoras ,&nbsp;Selina Bruckner ,&nbsp;Margarita M. López-Uribe ,&nbsp;Julio V. Urbina","doi":"10.1016/j.ohx.2024.e00609","DOIUrl":"10.1016/j.ohx.2024.e00609","url":null,"abstract":"<div><div>Honey bee foraging is a complex behavior because it involves tens of thousands of organisms making decisions about where to collect pollen and nectar based on the quality of resources and the distance to flowers. Studying this aspect of their biology is possible through direct observations but the large number of individuals involved in this behavior makes the implementation of technologies ideal to scale up this type of study. Consequently, there is a need for instruments that can facilitate accurate assessments of honey bee foraging at the colony level. To address this need, this work aimed to develop an automated imaging system for monitoring the in-and-out activity of honey bee foragers as they walk through a customized entrance with a camera sensor at the hive entrance. We used AprilTags attached to each bee’s thorax to provide unique identification numbers that allowed the system to track in-and-out events throughout the foraging season of the colony. Our design relies on low-cost Raspberry Pi computers and cameras, along with commercially off-the-shelf components, making it easily reproducible with the open-source documentation provided. We successfully deployed and evaluated our system in six locations, demonstrating consistent results. In this paper, we present the details about the development of the system, data collected from multiple colonies, and post-processing analysis from one of our apiaries. Our results highlight the system’s effectiveness in monitoring honey bee trips, capturing various behaviors associate with their activities outside the colony, which lay the groundwork for future estimations of foraging distances.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00609"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “A customizable digital holographic microscope” [HardwareX 19 (2024) e00569]","authors":"Claudia Ravasio ,&nbsp;Luca Teruzzi ,&nbsp;Mirko Siano ,&nbsp;Llorenç Cremonesi ,&nbsp;Bruno Paroli ,&nbsp;Marco A.C. Potenza","doi":"10.1016/j.ohx.2024.e00586","DOIUrl":"10.1016/j.ohx.2024.e00586","url":null,"abstract":"","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00586"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11707936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and manufacture of a low-cost 3D-printed laboratory device to measure the hyperelastic properties of polymeric films with small form factor suitable for medical devices","authors":"Hemanta Dulal,&nbsp;Seyedhamidreza Alaie","doi":"10.1016/j.ohx.2024.e00608","DOIUrl":"10.1016/j.ohx.2024.e00608","url":null,"abstract":"<div><div>Hyperelastic materials are extensively incorporated in medical implants and microelectromechanical systems due to their large, elastic, recoverable strains. However, their mechanical properties are sensitive to processing parameters that may lead to inconsistent characterization. Various test setups have been employed for characterizing hyperelastic materials; however, they are often costly. Recent advancements in additive manufacturing and open-source software/hardware suggest the possibility of simpler solutions in research settings for characterizing them; raising the question of whether one can characterize these materials with low-cost tools and tests that take advantage of soft and small form-factor samples. Here, the authors investigate the potential of an open-source, 3D-printed test system designed for characterizing such materials. This system is tailored for small form-factor samples (sub-mm thickness) and large elastic deformations, common in polymeric parts of minimally invasive implants. The authors developed parts using additive manufacturing for uniaxial and planar tension testing, with a low-cost image correlation method adapted for measuring large strains. Polydimethylsiloxane was chosen for demonstration of a two-parameter Mooney–Rivlin model, due to its documentation and use in biocompatible devices. The estimated Young’s and shear moduli were repeatable and consistent with the literature. Curve-fitting was challenging and dependent on the optimization choices, when data points were limited, consistent with prior reports. However, with a large number of data points and ideal optimization error choice, <span><math><msub><mrow><mi>C</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>C</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> were found to be close to those reported previously. This work demonstrates a low-cost, 3D-printed, open-source test setup for characterizing hyperelastic materials using a two-parameter Mooney–Rivlin model with reasonable accuracy.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"21 ","pages":"Article e00608"},"PeriodicalIF":2.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142932941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low cost, portable, 3D printable tissue precision slicer","authors":"Beatriz Martinez-Martin ,&nbsp;Isabella Lambros ,&nbsp;Lukas Nuesslein ,&nbsp;Yubing Sun","doi":"10.1016/j.ohx.2024.e00611","DOIUrl":"10.1016/j.ohx.2024.e00611","url":null,"abstract":"<div><div>Slicing tissue samples into thin pieces is commonly used in histology analysis and more recently for organotypic culture when tissue samples are sliced alive. Currently available devices for slicing tissue samples are either designed for fixed tissue samples at low cryogenic temperatures (<em>e.g.</em>, Cryostats), or bulky and expensive (<em>e.g.</em>, vibratome), preventing them from routine lab usage. Here we report a cost-effective device designed to section live tissues for subsequent culture. This device consists of components crafted from 3D-printed Nylon-12- a material suitable for autoclaving to ensure sterility. Its small footprint enhances portability, allowing for convenient placement within a biosafety cabinet for an added layer of sterility assurance. Using human pluripotent stem cells derived brain organoids as an example, we demonstrated that the device both precisely and accurately makes slices. We further validate its suitability for long-term culture by extended tissue culture following slicing. Our results indicate that brain organoid slices are viable and show improved proliferation rate compared with unsliced organoids.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00611"},"PeriodicalIF":2.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-cost automated cell counting module fabricated using CNC milling and soft lithography","authors":"Takanobu Takenouchi ,&nbsp;Yuta Iijima ,&nbsp;Kazuyo Ito ,&nbsp;Daisuke Yoshino","doi":"10.1016/j.ohx.2024.e00605","DOIUrl":"10.1016/j.ohx.2024.e00605","url":null,"abstract":"<div><div>Cell counting is one of the basic and essential procedures that researchers in cell biology, bioengineering, and other related fields learn at the outset. Systems based on various measurement principles are commercially available, and each has its own advantages and disadvantages in terms of performance, cost, and footprint. Herein, we developed a cost-effective, scalable, and compact module that enables cell counting with reasonable accuracy, throughput, and sensitivity. This cell counting module had a size of 29 × 48 × 16 mm and a cost of $165 USD. The module can be assembled by simply inserting commercially available optical and electronic components into a housing printed by CNC milling and soft lithography. To take full advantage of this module, we built an automated cell counting system using open-source and commercially available development platforms. The module exhibited a measurement accuracy (<em>i.e.</em>, guaranteed accuracy in the concentration range of 0–500 cells/µL) and sorting resolution (<em>i.e.</em>, selection of particles with diameters of 5 µm and 15 µm) tolerable for cellular experiments. This low-cost and small-size module can be a sufficient replacement for a routine system in cell experiments. We anticipate our work will benefit research fields such as cell biology and bioengineering.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00605"},"PeriodicalIF":2.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SuMOS, a submerged microscope for observing substrates: Studying benthic activity in aquatic environments","authors":"Jens Wira,&nbsp;Allen R. Place","doi":"10.1016/j.ohx.2024.e00610","DOIUrl":"10.1016/j.ohx.2024.e00610","url":null,"abstract":"<div><div>Described here is the construction of a low-cost, standalone underwater camera system designed for recording processes occurring on aquatic substrates. The Submerged Microscope for Observing Substrates (SuMOS) utilizes a Raspberry Pi Zero 2 W paired with a Raspberry Pi Camera Module v3 NoIR, with IR illumination for low-light situations. It features a waterproof housing inspired by the open-source PipeCam project, with enhancements for sealing and substrate mounting. The SuMOS system operates autonomously, capturing high-resolution images at fixed intervals under various lighting conditions. Tests in the Choptank River of Maryland demonstrated the system’s robustness in capturing patterns of amphipod activity under challenging optical conditions. This versatile tool offers a scalable solution for highly time-resolved, <em>in situ</em> studies of processes occurring at the interface of the aquatic/solid surface boundaries. The SuMOS provides significant advantages in cost, ease of deployment, and data collection.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00610"},"PeriodicalIF":2.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Open-source insect camera trap with vibrational detection and luring for monitoring Stictocephala basalis (Walker, Hemiptera: Membracidae: Smiliinae)","authors":"Vincent Vaughn ,&nbsp;Andrew Ensinger ,&nbsp;Edwin Harris ,&nbsp;Elijah Shumway ,&nbsp;Rachele Nieri ,&nbsp;Vaughn Walton ,&nbsp;John Selker ,&nbsp;Chet Udell","doi":"10.1016/j.ohx.2024.e00604","DOIUrl":"10.1016/j.ohx.2024.e00604","url":null,"abstract":"<div><div>We have developed a novel device for automatic sensing, luring, and imaging insects that use substrate-borne vibrational signals for identifying and locating mating partners. The device is capable of measuring the activity patterns of these insects in a local area. It is intended to be used for monitoring pest insects; the current version of the device focuses on the treehopper species <em>Stictocephala basalis</em> (Walker, Hemiptera: Membracidae: Smiliinae) that may serve as a vector for Grapevine Red Blotch Disease. The device detects male treehoppers by sensing their mating calls using a piezoelectric contact microphone attached to a host plant, and lures them towards an imaging area by playing a prerecorded female mating call using a vibration exciter. This work is significant because previous efforts towards agricultural pest monitoring through biotremology methods has achieved only limited practical application. The trap has successfully detected and recorded wild treehopper mating calls and activity patterns, and it provides a pathway towards targeted, non-toxic pest control of various insect species that use vibrational communication. The system may be adapted to physically trap insects or alter damaging behavior in various cropping systems.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00604"},"PeriodicalIF":2.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ardulake temperature profiler: An open-source, low-cost, automated monitoring system to unravel the mixing behavior of lakes","authors":"Guillermo Goyenola,&nbsp;Javier García-Climent","doi":"10.1016/j.ohx.2024.e00606","DOIUrl":"10.1016/j.ohx.2024.e00606","url":null,"abstract":"<div><div>Understanding the thermal classification of lakes based on mixing regimes is fundamental in limnology. Although this classification has traditionally been considered well-established, recent studies highlight variations in the mixing behaviors of ponds and shallow lakes. This paper introduces the Ardulake temperature profiler, an innovative, simple, and autonomous high-frequency temperature monitoring system designed for shallow to moderately deep lakes (3.5 to 10 m). Utilizing Arduino technology and GPRS telemetry, the system is cost-effective, with electronic components and sensors costing approximately USD 250 and buoy construction and deployment around USD 1000. The Ardulake enables real-time environmental temperature monitoring and data storage on an online platform for subsequent analysis and visualization. The collected data supports ecosystem research and the numerical modeling of thermal behavior in lakes. Key strengths of the system include low production and maintenance costs, replicability, and customization capabilities. Challenges, such as interference from animal activity, are addressed with recommended preventive measures tailored to specific fauna. Overall, the Ardulake temperature profiler offers a practical tool for advancing limnological research, with potential for modification to various environmental monitoring objectives.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00606"},"PeriodicalIF":2.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aquality32: A low-cost, open-source air quality monitoring device leveraging the ESP32 and google platform","authors":"Daniel M. Pineda-Tobón,&nbsp;Albeiro Espinosa-Bedoya,&nbsp;Jhon W. Branch-Bedoya","doi":"10.1016/j.ohx.2024.e00607","DOIUrl":"10.1016/j.ohx.2024.e00607","url":null,"abstract":"<div><div>We present AQuality32, an open-source air quality monitoring device designed to address the challenges faced by small research teams in accessing affordable and versatile air quality monitoring solutions. The device utilizes an ESP32 System on Module (SoM) and integrates sensors for CO₂ (SDC30 from Sensirion) and particulate matter (HM3301 from Seeed) measurement, along with temperature, relative humidity, and extensive sensing possibilities. It can be powered by a battery and is suitable for both stationary and on-the-go measurements. The paper details the hardware description, building instructions, programming, calibration procedures, and data collection setup for AQuality32. Validation experiments assess communication stability, geolocation accuracy, and environmental monitoring capabilities. The results demonstrate the device’s reliability, affordability, and suitability for various applications in environmental sciences, public health, and indoor/outdoor air quality monitoring. The paper emphasizes the importance of robust solutions, openness, and easy documentation for widespread adoption and impact in air quality research and monitoring.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"20 ","pages":"Article e00607"},"PeriodicalIF":2.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}