Optimizing Stereolithography Printing Parameters for Enhanced Microfluidic Chip Quality DOI
Nidal El biyari, Mohssin Zekriti

Smart and Sustainable Manufacturing Systems, Journal Year: 2024, Volume and Issue: 8(1), P. 136 - 149

Published: Dec. 30, 2024

ABSTRACT In the pursuit of innovative biosensing technologies for critical applications such as early breast cancer detection, development efficient and portable devices is crucial. This work describes a unique stereolithography (SLA)-based three-dimensional–printed microfluidic device intended particularly optofluidic with just microliter quantities blood, similar to diabetes monitoring devices. Unlike typical cumbersome lab equipment Biacore machine, which needs large blood sample volumes laboratory processing, technology allows patient-operated, at-home testing, decreasing requirement hospital visits. The main contribution this study optimize SLA printing parameters, namely exposure duration, in order improve chip’s transparency channel quality. improvement exact immobilization biorecognition components within channels, resulting sensitive biomarker detection. By extending we considerably increase structural integrity optical clarity are successful biosignal transduction labeled sensing applications. not only leads cheaper cost faster manufacturing compared conventional but also offers increased performance real bio-sensing Thus, our represents big step forward accessible, efficient, compact early-stage illness diagnosis, outperforming existing lab-based diagnostics.

Language: Английский

Starting a synthetic biological intelligence lab from scratch DOI Creative Commons

Md Sayed Tanveer,

Dhruvik Patel,

H. Schweiger

et al.

Patterns, Journal Year: 2025, Volume and Issue: unknown, P. 101232 - 101232

Published: April 1, 2025

Language: Английский

Citations

0
Engineered biological neuronal networks as basic logic operators DOI Creative Commons

Joël Küchler,

Katarina Vulić, Haotian Yao

et al.

Frontiers in Computational Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: April 28, 2025

We present an in vitro neuronal network with controlled topology capable of performing basic Boolean computations, such as NAND and OR. Neurons cultured within polydimethylsiloxane (PDMS) microstructures on high-density microelectrode arrays (HD-MEAs) enable precise interaction through extracellular voltage stimulation spiking activity recording. The architecture our system allows for creating non-linear functions two inputs one output. Additionally, we analyze various encoding schemes, comparing the limitations rate coding potential advantages spike-timing-based strategies. This work contributes to advancement hybrid intelligence biocomputing by offering insights into neural information decoding create fully biological computational systems.

Language: Английский

Citations

0
Multiscale Cloud-based Pipeline for Neuronal Electrophysiology Analysis and Visualization DOI Creative Commons
Jinghui Geng, Kateryna Voitiuk, David F. Parks

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

ABSTRACT Electrophysiology offers a high-resolution method for real-time measurement of neural activity. The vast amount data generated requires efficient storage and sophisticated processing to extract function network dynamics. However, analysis is often challenging due the need multiple software tools with different runtime dependencies. Longitudinal recordings from high-density microelectrode arrays (HD-MEAs) can be considerable size local storage, complicating management, sharing, backup. To address these challenges, we developed an open-source cloud-based pipeline store, analyze, visualize neuronal electrophysiology HD-MEAs. This dependency agnostic by utilizing cloud computing resources, Internet Things messaging protocol. We containerized algorithms serve as scalable flexible building blocks within pipeline. designed graphical user interfaces command line remove requirement programming skills. interactive visualizations provide multi-modality information on various features. solution processing, limitations tools, constraints. It simplifies process facilitates understanding In this paper, applied two types cultures, cortical organoids ex vivo brain slice recordings.

Language: Английский

Citations

2
Goal-Directed Learning in Cortical Organoids DOI Open Access
Ash Robbins, H. Schweiger, Sebastian Hernandez

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 12, 2024

Abstract Experimental neuroscience techniques are advancing rapidly, with major recent developments in high-density electrophysiology and targeted electrical stimulation. In combination these techniques, cortical organoids derived from pluripotent stem cells show great promise as vitro models of brain development function. Although sensory input is vital to neurodevelopment vivo , few studies have explored the effect meaningful neural cultures over time. this work, we demonstrate first example goal-directed learning organoids. We developed a closed-loop framework embody mouse into simulated dynamical task (the inverted pendulum problem known ‘Cartpole’) evaluate through high-frequency training signals. Longitudinal experiments enabled by illuminate how different methods selecting signals enable improvement on tasks. found that for most organoids, chosen artificial reinforcement yield better performance than randomly or absence signal. This systematic approach studying mechanisms opens new possibilities therapeutic interventions biological computation.

Language: Английский

Citations

2
Optimizing Stereolithography Printing Parameters for Enhanced Microfluidic Chip Quality DOI
Nidal El biyari, Mohssin Zekriti

Smart and Sustainable Manufacturing Systems, Journal Year: 2024, Volume and Issue: 8(1), P. 136 - 149

Published: Dec. 30, 2024

ABSTRACT In the pursuit of innovative biosensing technologies for critical applications such as early breast cancer detection, development efficient and portable devices is crucial. This work describes a unique stereolithography (SLA)-based three-dimensional–printed microfluidic device intended particularly optofluidic with just microliter quantities blood, similar to diabetes monitoring devices. Unlike typical cumbersome lab equipment Biacore machine, which needs large blood sample volumes laboratory processing, technology allows patient-operated, at-home testing, decreasing requirement hospital visits. The main contribution this study optimize SLA printing parameters, namely exposure duration, in order improve chip’s transparency channel quality. improvement exact immobilization biorecognition components within channels, resulting sensitive biomarker detection. By extending we considerably increase structural integrity optical clarity are successful biosignal transduction labeled sensing applications. not only leads cheaper cost faster manufacturing compared conventional but also offers increased performance real bio-sensing Thus, our represents big step forward accessible, efficient, compact early-stage illness diagnosis, outperforming existing lab-based diagnostics.

Language: Английский

Citations

0