ArticleBiochemistry2019
An Open-Source Plate Reader.
Article in Biochemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- LOTUS: A low-cost time-lapse automated imaging system for spatio-temporal analysis of microbial colony or biofilm development.PloS one · 2026Article
- qByte: An open-source isothermal fluorimeter for democratizing analysis of nucleic acids, proteins and cells.PLoS biology · 2025Article
- Optical Image Sensors for Smart Analytical Chemiluminescence Biosensors.Bioengineering (Basel, Switzerland) · 2024Review
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- Article
- Article
- High-throughput feedback-enabled optogenetic stimulation and spectroscopy in microwell plates.Communications biology · 2023Article
- Low-Cost Microplate Reader with 3D Printed Parts for under 500 USD.Sensors (Basel, Switzerland) · 2022Article
- Article
- LightBox: A multiwell plate illumination system for photoactive molecule characterization.Journal of biophotonics · 2021Article
- A DIY Fabrication Approach of Stretchable Sensors Using Carbon Nano Tube Powder for Wearable Device.Frontiers in robotics and AI · 2021Article
- Twister3: a simple and fast microwire twister.Journal of neural engineering · 2020Article
- Leveraging open hardware to alleviate the burden of COVID-19 on global health systems.PLoS biology · 2020Article
- A DIY approach to automating your lab.Nature · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Microplate readers are foundational instruments in experimental biology and bioengineering that enable multiplexed spectrophotometric measurements. To enhance their accessibility, we here report the design, construction, validation, and benchmarking of an open-source microplate reader. The system features full-spectrum absorbance and fluorescence emission detection, in situ optogenetic stimulation, and stand-alone touch screen programming of automated assay protocols. The total system costs less than $3500, a fraction of the cost of commercial plate readers, and can detect the fluorescence of common dyes at concentrations as low as ∼10 nM. Functional capabilities were demonstrated in the context of synthetic biology, optogenetics, and photosensory biology: by steady-state measurements of ligand-induced reporter gene expression in a model of bacterial quorum sensing and by flavin photocycling kinetic measurements of a LOV (light-oxygen-voltage) domain photoreceptor used for optogenetic transcriptional activation. Fully detailed guides for assembling the device and automating it using the custom Python-based API (Application Program Interface) are provided. This work contributes a key technology to the growing community-wide infrastructure of open-source biology-focused hardware, whose creation is facilitated by rapid prototyping capabilities and low-cost electronics, optoelectronics, and microcomputers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.