News, case studies, and technical notes from the QuSpin team.
From acquisition to source-level analysis with the QuSpin Neuro-1: signal cleanup, HALO-based sensor localization, subject coregistration, auditory evoked response analysis, and LCMV beamforming.
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A practical overview of heading error in aeromagnetic surveys—orientation-dependent artifacts in the scalar total-field trace—and a step-by-step Python worked example showing how to correct it using QuSpin's QTFM scalar plus vector add-on data and a least-squares model.
Read Post A new tutorial completes QuSpin's Neuro-1 analysis pipeline, guiding users from raw MEG data through sensor localization, preprocessing, forward modeling, and inverse solutions to interactive 3D visualizations of localized phantom data using the open-source MNE-Python ecosystem.
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QuSpin announces the beta release of its updated Python-based sensor localization analysis software for the Neuro-1 system, streamlining a previously manual workflow into a load-select-go process.
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QuSpin's HALO platform offers a turn-key solution for quickly and accurately determining the location, orientation, and calibration of OPM sensor arrays, streamlining the first step of co-registration for advanced bio-magnetic sensing applications.
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A beta release of QuSpin's Sensor Localization Software, part of the HALO product platform, enables fast and accurate calculation of sensor locations and orientations for registering OPM arrays to medical datasets.
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SPH Engineering's MagNimbus is an easy-to-use UAV magnetometer payload with integrated peripherals, available with QuSpin's QTFM in single-sensor and gradiometer configurations, using a self-retracting arm to distance the sensor from the drone during flight.
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QuSpin introduces a carbon fiber packaging add-on for the QTFM Gen-2, providing compact, rugged, and lightweight housings for the sensor head and communications boards to simplify integration onto UAVs and UUVs.
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An introduction to Neuro-1, QuSpin's state-of-the-art integrated OPM sensor system for high-channel-density biomagnetic applications such as MEG, combining QZFM sensors, control electronics, data acquisition, and power supply into a unified, wearable system.
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QuSpin's second-generation QTFM scalar atomic magnetometer, redesigned from the ground up for rugged, compact, low-power magnetometry on UAV and underwater platforms, with new features including a negligible deadzone, gradiometer mode, and a hybrid scalar+vector attachment.
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QuSpin announces the third-generation QZFM zero-field OPM sensor, a ground-up redesign focused on reliability, serviceability, low-frequency stability, and a new triaxial sensing mode for high-performance biomagnetic imaging.
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QuSpin introduces a triaxial variant of the Gen-2 QZFM that measures all three magnetic field components with a single sensor, at the same size, weight, power, and cost as the standard sensor.
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The University of Nottingham operates the first 50-channel OPM-MEG array built on QuSpin Gen-2 QZFM sensors, demonstrating high-fidelity, movement-tolerant neuroimaging of visual and motor cortex in a visuo-motor task.
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QuSpin explores a lightweight, EEG-like prototype MEG cap holding 30 Gen-2 QZFM sensors, detailing the custom sensor holders, flexible cap construction, and co-registration considerations.
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Magnetic Shields Limited commercializes a compact, phone-booth-style magnetically shielded room suited to optical (QZFM) MEG systems at a fraction of the size and cost of traditional MSRs, with full performance specifications.
Read Post QuSpin launches a discussion and support group for QZFM users to share technical questions, results, and tips with the broader community.
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DiGioia Gray launches WELLSCOUT, an aeromagnetic UAV equipped with QuSpin's QTFM scalar magnetometer to efficiently locate abandoned oil wells and metallic waste for environmental surveys.
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QuSpin releases the second-generation QZFM sensor, reducing size and weight, improving manufacturability, extending background field tolerance to 200 nT, and moving the MEG form factor closer to EEG.
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Work by L. Bougas and coworkers, published in Scientific Reports, uses a QZFM magnetometer for real-time, non-destructive, in-line detection of trace magnetic nanoparticles in flowing fluids, enabling safer magnetic nanoparticle-based blood purification.
Read Post A Nature paper by E. Boto and coworkers demonstrates a wearable, high-performance MEG scanner built with non-cryogenic QZFM sensors that records brain activity while the head is moving.
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A clinical study at the University of Wisconsin using an experimental OPM (QZFM) fetal magnetocardiography system detected fetal rhythm abnormalities with efficacy similar to an FDA-approved SQUID magnetometer, as published in JACC: Clinical Electrophysiology.
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Genetesis is developing CardioFlux, a clinical-grade magnetocardiography system powered by QuSpin QZFM sensors, using open-ended cylindrical magnetic shields that allow installation in ordinary clinical environments.
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Results from a Wellcome Trust-funded collaboration between the University of Nottingham and University College London demonstrate multichannel OPM-based MEG, including motor-cortex beamforming with a moving head and accurate somatosensory source localization with QZFM sensors.
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Two QuSpin QTFM sensors run for nearly five days in a remote location demonstrate sub-picoTesla sensitivity and a flat residual noise spectrum down to very low frequencies, capturing expected diurnal field variations of nearly 50 nT.
Read Post QuSpin gave its first public demonstration of the QTFM magnetometer at the Navy Forum for SBIR/STTR Transition in April 2017, showcasing progress under Navy SBIR topic N141-004.
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Researchers at the University of Nottingham and University College London used a single QZFM OPM moved sequentially through 13 helmet slots to measure MEG evoked responses, achieving signals about four times larger than SQUID and source-space SNR comparable to a 271-channel SQUID system.
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Hari Eswaran and coworkers at the University of Arkansas published a head-on comparison of fetal magnetocardiography recordings from a 151-sensor SQUID system and a 2-sensor QuSpin OPM system, concluding that OPMs are potentially capable of replacing SQUIDs for fMCG.
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Young Kim and Igor Savukov at Los Alamos National Labs demonstrated a room-temperature magnetic microscope using a QZFM sensor and a ferrite flux guide, projecting an optimized device could combine 80 μm resolution with high sensitivity for applications such as electrode-free single-neuron detection.
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A look back at one of QuSpin's earliest OPM prototypes from December 2012, which helped demonstrate the feasibility of practical non-cryogenic sensors to replace SQUIDs and shares the same basic architecture as the highly engineered commercial version.
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