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We demonstrate the possibility of tracking clustering, aggregation, and immobilization processes of magnetic nanoparticles with high sensitivity by measuring their thermal magnetic noise spectra with optically pumped magnetometers.

The development of SQUID current sensors with a thermally actuated input current limiter (TCL) integrated into the input circuit of the sensor is presented. The TCL is based on an unshunted Josephson Junction (JJ) series array, around which meanders a galvanically isolated, but tightly, thermally coupled, resistive heater element. By applying a current to the heater, the JJ critical currents can be reduced or completely suppressed, while the other on-chip SQUID circuit elements remain unaffected. The functional parameters of the TCL are determined by direct transport measurements and by static and dynamic flux coupling tests via the input circuit. In liquid Helium, a heater power, which reliably suppresses the critical current of the JJ array to zero, of $\sim$1.5 mW was needed, with the TCL normal state resistance being at 500 $\Omega$. In this configuration, typical TCL switching times below 10 $\mu$s were observed in the direct transport measurements. The TCL can be used to temporarily or even permanently disable malfunctioning channels in multichannel SQUID magnetometer systems, when feedback into their otherwise superconducting input circuits is not possible. In doing so, significant signal distortions in neighbouring channels from screening currents in these input circuits are avoided. Furthermore, by completely suppressing and restoring the TCL critical current, dc offset currents in the superconducting input circuits can be prevented. This is relevant, for instance, in SQUID-based spin precession experiments on hyperpolarized noble gases, in which even dc currents of a few $\mu$A in the input circuit can lead to significant magnetic field distortions in the adjacent sample region contributing to the transverse spin-spin relaxation rate $1/T_{2}$, Comment: 7 pages, 6 figures, ASC 2022, submitted to Superconducting Science and Technology

We recently demonstrated a 1$^{\textrm{st}}$-order axial gradiometer SQUID system which is operated in a liquid He dewar with negligible noise contribution. The achieved close to SQUID limited measured coupled energy sensitivity $\varepsilon_{c}$ of $\sim$30$\,h$ corresponds to a white field noise below 180$\,$aT$\,$Hz${^{-1/2}}$. In order to further improve the SQUID noise performance, the junction capacitance was reduced by decreasing its lateral size to below $1\,\mu$m. This was realized by extending the fabrication process for sub-micrometer-sized Josephson Junctions based on the HfTi self-shunted junction technology to an SIS process with AlO$_{\textrm{x}}$ as the insulating layer. We achieved energy sensitivities of 4.7$\,h$ and 20$\,h$ at 4.2$\,$K for uncoupled and coupled SQUIDs, respectively. We also investigated the temperature dependence of the noise of the uncoupled SQUIDs and reached an energy sensitivity of 0.65$\,h$ in the white noise regime at 400$\,$mK., Comment: 4 pages, 7 figures, ISEC 2019

Significance Evolution has shaped the human brain as a “single-trial” processor reacting fast and reliably to environmental threats. The noninvasive analysis of its electrical activity commonly draws on electroencephalography/magnetoencephalography (EEG/MEG) with a millisecond time resolution suitable even for short-lived neuronal output spikes. However, while standard EEG/MEG can detect very small evoked population spikes, it does so only after averaging over hundreds of trials. Here, MEG based on an ultralow-noise superconducting quantum interference device (SQUID) is shown to enable the first noninvasive single-trial characterization of human cortical population spikes, revealing amplitudes highly variable between trials and intertrial correlated response latencies. Thus, by expanding the scope of noninvasive neurotechnology, ultralow-noise MEG can support single-trial analyses of input–output characteristics in the human brain., Neuronal spiking is commonly recorded by invasive sharp microelectrodes, whereas standard noninvasive macroapproaches (e.g., electroencephalography [EEG] and magnetoencephalography [MEG]) predominantly represent mass postsynaptic potentials. A notable exception are low-amplitude high-frequency (∼600 Hz) somatosensory EEG/MEG responses that can represent population spikes when averaged over hundreds of trials to raise the signal-to-noise ratio. Here, a recent leap in MEG technology—featuring a factor 10 reduction in white noise level compared with standard systems—is leveraged to establish an effective single-trial portrayal of evoked cortical population spike bursts in healthy human subjects. This time-resolved approach proved instrumental in revealing a significant trial-to-trial variability of burst amplitudes as well as time-correlated (∼10 s) fluctuations of burst response latencies. Thus, ultralow-noise MEG enables noninvasive single-trial analyses of human cortical population spikes concurrent with low-frequency mass postsynaptic activity and thereby could comprehensively characterize cortical processing, potentially also in diseases not amenable to invasive microelectrode recordings.

Magnetic fields associated with currents flowing in tissue can be measured non-invasively by means of zero-field-encoded ultra-low-field magnetic resonance imaging (ULF MRI) enabling current density imaging (CDI) and possibly conductivity mapping of human head tissues. Since currents applied to a human are limited by safety regulations and only a small fraction of the current passes through the relatively high-resistive skull, a sufficient signal-to-noise ratio (SNR) may be difficult to obtain when using this method. In this work, we study the relationship between the image SNR and the SNR of the field reconstructions from zero-field-encoded data. We evaluate these results for two existing ULF MRI scanners, one ultra-sensitive single-channel system and one whole-head multi-channel system, by simulating sequences necessary for current-density reconstruction. We also derive realistic current-density and magnetic-field estimates from finite-element-method simulations based on a three-compartment head model. We found that existing ULF-MRI systems reach sufficient SNR to detect intra-cranial current distributions with statistical uncertainty below 10%. However, they also reveal that image artifacts influence the reconstruction quality. Further, our simulations indicate that current-density reconstruction in the scalp requires a resolution less than 5 mm and demonstrate that the necessary sensitivity coverage can be accomplished by multi-channel devices., 18 pages, 8 figures. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 686865

SQUID systems for ultra-low-field magnetic resonance (ULF MR) feature superconducting pick-up coils which must tolerate exposure to pulsed fields of up to 100 mT. Using type-II superconductor niobium (Nb) field distortions due to trapped vortices in the wire result. In addition, their rearrangement after quick removal of the pulsed field leads to excess low frequency noise which limits the signal-to-noise ratio. In contrast, type I superconductors, such as lead (Pb), do not exhibit vortices but form an intermediate state with the coexistence of normal and superconducting domains. We measured the magnetization loops of superconducting wire samples of Nb and Pb together with their noise behavior after pulsed fields. Pb also exhibits significant excess low frequency noise once the wire has been driven into the intermediate state. To avoid this problem, we removed the field not abruptly but in a linearly decaying sinusoidal manner thereby degaussing the wire. After application of 57 mT, we found that Nb can be degaussed within at least 50 ms, the shortest time used in this study. Pb can also be degaussed, albeit within 100 ms and a more complex dependency on the degaussing parameters. After successful degaussing, negligible excess low frequency noise is observed., 4 pages, 6 figures, EUCAS 2017

Performance of multilayered superinsulation in cryogenic systems is highly dependent on the radiative properties of reflector foil surfaces. Aluminum coated polyester foils are utilized for their high reflectivity in the infrared spectrum. In an earlier work it was shown that by structuring these coatings the amount of eddy currents induced by switching ambient fields can be reduced considerably. This results in a much smaller transient response superposing the signal to be measured by high precision magnetic measurements using SQUIDs. In addition to a reduction of the thermal noise background, this considerably increases the quality of the magnetic measurements. In high energy applications with changing magnetic fields, such as superconducting fault current limiters, heat is dissipated in the superinsulation by eddy currents, degrading the performance of the superinsulation. In the past these materials showed rather high emissivity values and caused poor thermal performance when used in multilayered superinsulation. In fact the measured thermal performance was not correlating well with models. Using the measured emissivity some thermal coupling with next but one foil surfaces was indicated, by radiation through the plain grid lines of the partially transparent structured coatings. To improve these properties, the grid size was increased and a new structured coating on both sides of the foil was tested. Several calorimetric and magnetic experiments are presented and the results are discussed in this paper.

Recent efforts in the development of ultralow field nuclear magnetic resonance (NMR) have focused on increasing prepolarizing field (B P ) strength. The strong B P , which is up to hundreds of milliteslas, is mandatory for high-quality NMR signals. However, B P needs to be completely removed within milliseconds so that spin relaxation signal measurement can take place before the sample magnetization wears off. In a previous study, where we compared three pick-up coils made of Nb, NbTi, and Pb, we found that only the pick-up coil made of Pb, which is a type-I superconductor, was unaffected by the strong magnetic field from the B P coil and produced a sharp NMR signal. The other coils made of type-II superconductors all began to suffer from a degraded NMR signal with B P above a certain threshold. Here, we show detailed measurement of magnetization loops of NbTi and Pb wires and argue that the counter pulse strategy suggested in our previous study can minimize the trapped flux and recover the spin relaxation signal. We argue that this counter pulse strategy can be applied to superconducting B P coils, so that the counter pulses can neutralize flux trapped inside the B P coil due to its strong internal field, thereby dramatically increasing the limit on the B P strength.

The magnetic field noise in superconducting quantum interference devices (SQUIDs) used for biomagnetic research such as magnetoencephalography or ultra-low-field nuclear magnetic resonance is usually limited by instrumental dewar noise. We constructed a wideband, ultra-low noise system with a 45 mm diameter superconducting pick-up coil inductively coupled to a current sensor SQUID. Thermal noise in the liquid helium dewar is minimized by using aluminized polyester fabric as superinsulation and aluminum oxide strips as heat shields, respectively. With a magnetometer pick-up coil in the center of the Berlin magneti- cally shielded room 2 (BMSR2) a noise level of around 150 aT Hz$^{-1/2}$ is achieved in the white noise regime between about 20 kHz and the system bandwidth of about 2.5 MHz. At lower frequencies, the resolution is limited by magnetic field noise arising from the walls of the shielded room. Modeling the BMSR2 as a closed cube with continuous \mu-metal walls we can quantitatively reproduce its measured field noise., Comment: 4 pages, 3 figures

Using an ultra-sensitive single-channel SQUID system an upper limit of 80 aT Hz−1/2 for the body noise contribution of the human head in ultra-low-field SQUID-based MRI or MEG is determined. We discuss in detail the various noise contributions which need to be taken into account. Simulations and measurements of conducting phantoms show that presumably residual radio frequency interference cause an increase in the sensor noise at the aT Hz−1/2-level and need to be considered. Using a phenomenological approach, the body noise contribution of the human head is determined to 55 aT Hz−1/2 for our setup. We also provide simulations of the expected body noise for other sensor geometries.

Very low residual magnetic field and field gradients are essential for a number of high resolution fundamental physical experiments and for further improvement of very sensitive magnetic measurement devices. The scope ranges from spin precession experiments, e.g. with 3He or neutrons, to biomagnetic measurements, like magnetoencephalograms, and to low field MR spectroscopy. One method of reducing environmental magnetic noise is to use a magnetically shielded room (MSR). Here, measures are demonstrated to improve residual field and field gradient inside a common MSR by a factor of more than 10 by a specific degaussing procedure, material selection of prefabricated parts and active shielding. The process is independent of the shielding factor and works also properly for heavily shielded rooms.

A number of different methods have been developed in order to detect the spreading of neuronal currents by means of noninvasive imaging techniques. However, all of these are subjected to limitations in the temporal or spatial resolution. A new approach of neuronal current detection is based on the use of low-field nuclear magnetic resonance (LF-NMR) that records brain activity directly. In the following, we describe a phantom study in order to assess the feasibility of neuronal current detection using LF-NMR. In addition to that, necessary preliminary subject studies examining somatosensory evoked neuronal currents are presented. During the phantom study, the influences of two different neuronal time signals on 1H-NMR signals were observed. The measurements were carried out by using a head phantom with an integrated current dipole to simulate neuronal activity. Two LF-NMR methods based on a DC and an AC (resonant) mechanism were utilized to study the feasibility of detecting both types of magnetic brain signals. Measurements were made inside an extremely magnetically shielded room by using a superconducting quantum interference device magnetometer system. The measurement principles were validated applying currents of higher intensity than those typical of the neuronal currents. Through stepwise reduction of the amplitude of the current dipole strength, the resolution limits of the two measuring procedures were found. The results indicate that it is necessary to improve the signal-to-noise ratio of the measurement system by at least a factor of 38 in order to detect typical human neuronal activity directly by means of LF-NMR. In addition to that, ways of achieving this factor are discussed.

Magnetoencephalography measurements of somatosensory evoked brain activity taken inside an extremely magnetically shielded room are reported. The massive low frequency shielding in combination with a high sampling rate enabled the simultaneous observation of AC and near-DC effects. Neuronal activation was achieved by repetitive electrostimulation of the right median nerve above motor threshold using repetition rates from 3 Hz to 12 Hz. Stimulation sequences lasted for 10 s and were interspersed with periods of rest of equal length. The recorded magnetic fields, inferred for the N20m and a sustained near-DC component, revealed mainly dipolar patterns with mutually rotated orientations with angles of rotation of 30° and 75°. At the start of the stimulation we observed a fast rise within 100 ms in the evoked magnetic near-DC fields for which a maximum equivalent current dipole strength of 65 nAm was obtained. The sustained fields decayed by a factor of ∼4 to a lower DC-level B(γ) with a time constant τ of order of seconds. For 12 Hz repetition rate B(γ) was decreased. We suggest that the sustained neuronal activity evoked by repetitive electrostimulation could provide a suitable scheme to realize the direct detection of DC effects of neuronal currents via low field magnetic resonance.

We present the prototype module of our extendible and robust multichannel SQUID magnetometer system. A multi-module arrangement can be implemented by using up to 7 modules. It is intended for high-precision measurements of biomagnetism and spin precession. Further demanding applications are magnetorelaxometry and ultra-low-field nuclear magnetic resonance (ULF NMR), where pulsed fields of up to 100 mT are typically applied. The system is operated inside the Berlin Magnetically Shielded Room and equipped with 18 magnetometers consisting of niobium (Nb) wire-wound pick-up coils. A total of 16 small pick-up coils with 17.1 mm diameter form a regular grid with individual channels arranged to ensure system sensitivity covers all three orthogonal spatial directions. Two large hexagonal pick-up coils with an equivalent diameter of 74.5 mm sensitive in z-direction surround the grid at two different heights and are suitable for the detection of deep sources. Each coil is connected to the input of a thin-film Nb SQUID current sensor via a detachable superconducting contact. The SQUIDs are equipped with integrated input current limiters. Feedback into the pick-up coils minimizes crosstalk between channels. The current sensor chip package includes a superconducting shield of Nb. The field distortion of the prototype and a multi-module arrangement was analysed by numerical simulation. The measured noise of the small magnetometers was between 0.6 and 1.5 fT/Hz$^{1/2}$, and well below 1 fT/Hz$^{1/2}$ for the large ones. Using a software gradiometer, we achieved a minimum noise level of 0.54 fT/Hz$^{1/2}$. We performed ULF NMR experiments, verifying the system's robustness against pulsed fields, and magnetoencephalographgy (MEG) on somatosensory evoked neuronal activity. The low noise performance of our 18-channel prototype enabled the detection of high-frequency components at around 1 kHz by MEG., 11 pages, 10 figures

We are using low- T c multiloop DC SQUIDs with additional positive feedback (APF), operating in a flux-locked loop mode out to several megahertz, to perform nuclear magnetic resonance on low temperature samples. The optimum input configuration depends on the sample under investigation. For systems with short T 2 and low frequencies a broadband input circuit is best, with the NMR pickup coil forming a flux transformer with the input coil of the SQUID. This system has been used to perform NMR on several metals, including UPt 3 in the superconducting state, and on submonolayer 3 He films at low kilohertz frequencies. For systems with narrow lines a tuned input configuration offers improved sensitivity, especially when the pickup coil can be cooled to millikelvin temperatures. Here the NMR pickup coil forms part of a series resonant tank circuit, attached to the input coil of the SQUID. We are presently using such a system, tuned to 880 kHz, to detect signals from thin 3 He films (of thickness 100 nm) adsorbed on a surface area of 1 cm 2 . Cooling these films to below 1 mK will enable the study of superfluidity in 3 He films thinner than the bulk superfluid coherence length.

We describe a self-contained 3He melting curve thermometer (MCT), which is compact and easy to operate and makes a reliable tool for the direct dissemination of the new provisional low-temperature scale, PLTS-2000. It is based on a cylindrical pressure gauge and uses a tunnel diode oscillator circuit for capacitive read-out. The gas-handling system uses a set of relief valves and an electronic pressure sensor, enabling the thermometer to be fully automated, including the calibration procedure. The performance of the MCT was evaluated by comparison with a current-sensing noise thermometer in the temperature range from 20 to 700 mK.

Non-invasive EEG detection of very high frequency somatosensory evoked potentials featuring frequencies up to and above 1 kHz has been recently reported. Here, we establish the detectability of such components by combined low-noise EEG/MEG. We recorded SEP/SEF simultaneously using median nerve stimulation in five healthy human subjects inside an electromagnetically shielded room, combining a low-noise EEG custom-made amplifier (4.7 nV/√Hz) and a custom-made single-channel low-noise MEG (0.5 fT/√Hz @ 1 kHz). Both, low-noise EEG and MEG revealed three spectrally distinct and temporally overlapping evoked components: N20 (100 Hz), sigma-burst (450-750 Hz), and kappa-burst (850-1200 Hz). The two recording modalities showed similar relative scaling of signal amplitude in all three frequencies domains (EEG [10 nV] ≅ MEG [1 fT]). Pronounced waveform (peak-by-peak) overlap of EEG and MEG signals is observed in the sigma band, whereas in the kappa band overlap was only partial. A decreasing signal-to-noise ratio (SNR; calculated for n = 12.000 averages) from sigma to kappa components characterizes both, electric and magnetic field recordings: Sigma-band SNR was 12.9 ± 5.5/19.8 ± 12.6 for EEG/MEG, and kappa-band SNR at 3.77 ± 0.8/4.5 ± 2.9. High-frequency performance of a tailor-made MEG matches closely with simultaneously recorded low-noise EEG for the non-invasive detection of somatosensory evoked activity at and above 1 kHz. Thus, future multi-channel dual-mode low-noise technology could offer complementary views for source reconstruction of the neural generators underlying such high-frequency responses, and render neural high-frequency processes related to multi-unit spike discharges accessible in non-invasive recordings.

Neuronal current imaging (NCI) aims at detecting the influence of neuronal magnetic fields on an NMR signal which might be easier at ultra-low fields (~μT) than at high fields (~T). In the so-called ‘DC effect’, long-lived neuronal activity shifts the Larmor frequency of the surrounding protons and changes the NMR line-shape. An alternative strategy is to use fast neuronal activity as a tipping pulse. This so-called ‘AC effect’ requires the proton Larmor frequency to match the frequency of the neuronal activity. Phantom studies validating both principal working mechanisms are described assessing the feasibility of NCI at ultra-low fields. MRI on phantoms taken at Larmor frequencies of 100 and 731 Hz are also shown and discussed in an attempt to combine the AC effect and ULF MRI. These frequencies are examples of brain activity triggered by electrostimulation of the median nerve.

In ultra-low-field (ULF) NMR/MRI, a common scheme is to magnetize the sample by a polarizing field of up to hundreds of mT, after which the NMR signal, precessing in a field on the order of several μT, is detected with superconducting quantum interference devices (SQUIDs). In our ULF-NMR system, we polarize with up to 50 mT and deploy a single-stage DC-SQUID current sensor with an integrated input coil which is connected to a wire-wound Nb gradiometer. We developed this system (white noise 0.50 fT/ Hz ) for assessing the feasibility of imaging neuronal currents by detecting their effect on the ULF-NMR signal. Magnetoencephalography investigations of evoked brain activity showed neuronal dipole moments below 50 nAm. With our instrumentation, we have studied two different approaches for neuronal current imaging. In the so-called DC effect, long-lived neuronal activity shifts the Larmor frequency of the surrounding protons. An alternative strategy is to exploit fast neuronal activity as a tipping pulse. This so-called AC effect requires the proton Larmor frequency to match the frequency of the neuronal activity, which ranges from near-DC to ∼kHz. We emulated neuronal activity by means of a single dipolar source in a physical phantom, consisting of a hollow sphere filled with an aqueous solution of CuSO4 and NaCl. In these phantom studies, with physiologically relevant dipole depths, we determined resolution limits for our set-up for the AC and the DC effect of ∼10 μAm and ∼50 nAm, respectively. Hence, the DC effect appears to be detectable in vivo by current ULF-NMR technology.

The measurement system consists of three main components. The magnetic sensor is realized by using a superconducting quantum interference device. To apply all the required magnetic fields and field gradients a coil set-up is placed inclusive current sources. And, a PXI based data acquisition and timing completes the set-up. Each measurement starts with a pre-polarizing of sample volume by applying up to 50 mT. To get the spatial information phase and frequency encoding is used. After the polarization the phase gradient is applied for adjustable time. Then the applied frequency gradient and detection field are inversed repetitively according to the phase time. So, echo signals of samples T2 decrease can be measured.

Within the magnetic resonance imaging (MRI) community the trend is going to higher and higher magnetic fields, ranging from 1.5 T to 7 T, corresponding to Larmor frequencies of 63.8-298 MHz. Since for high-field MRI the magnetization increases with the applied magnetic field, the signal-to-noise-ratio increases as well, thus enabling higher image resolutions. On the other hand, MRI is possible also at ultra-low magnetic fields, as was shown by different groups. The goal of our development was to reach a Larmor frequency range of the low-field MRI system corresponding to the frequency range of human brain activities ranging from near zero-frequency (near-DC) to over 1 kHz. Here, first 2D MRI images of phantoms taken at Larmor frequencies of 100 Hz and 731 Hz will be shown and discussed. These frequencies are examples of brain activity triggered by electrostimulation of the median nerve. The method will allow the magnetic fields of the brain currents to influence the magnetic resonance image, and thus lead to a direct functional imaging modality of neuronal currents.

Centro Studi e Ricerche “E. Fermi”, Rome, Italy. Email: Antonio.cassara@roma1.infn.it Physikalish-Technische Bundesanstalt (PTB), Abbestr. 2-12, 10587 Berlin, Germany University of Leipzig, Leipzig, Germany Neurophysics Group, Dept. of Neurology, Campus Benjamin Franklin, Charite/University Medicine, Berlin, Germany Dip. di Fisica, Universita di Roma “La Sapienza”, Piazzale Aldo Moro, 5, 00185, Rome, Italy

In the endeavor to perform in vivo magnetic resonance imaging in very low fields, we developed a dedicated SQUID based NMR/MRI measurement system. The low noise performance of < 30 fT/\(\surd\)Hz above 1 Hz enables the measurement of nuclear magnetic precession at magnetic fields well below 50 μT down to 100 nT. The system is operated inside a heavily magnetically shielding - the Berlin Magnetically Shielded Room BMSR-2.

The detection of neuronal currents (NC) may foster the understanding of the flow of information in the brain. Existing methods of NC detection like electro- and magnetoencephalography (EEG/MEG) are limited by the ambiguity of the inverse problem, while imaging methods like fMRI monitor secondary effects (e.g., blood oxygenation changes). On the other hand, attempts to directly detect NC in high field NMR techniques by a local shift of the 1H resonance frequency have yielded controversial results. In magnetic fields around 1 microTesla, the relative contribution of the biomagnetic field generated by neuronal currents is orders of magnitude higher than in conventional high fields. This may make the situation much more favourable.

In ultra-low field nuclear magnetic resonance (ULF-NMR) with strong prepolarization field (Bp), type-II superconducting pick-up coils may be vulnerable to flux pinning from the strong Bp. Pick-up coils made of NbTi, Nb, and Pb were evaluated in terms of acquired NMR signal quality. The type-II pick-up coils showed degraded signals above 61 mT maximum exposure, while the Pb pick-up coil exhibited no such degradation. Furthermore, a negative counter pulse following a strong Bp was shown to follow magnetic hysteresis loop to unpin the trapped flux in the type-II pick-up coil and restore the NMR signal.

We report progress in the development of a self-contained 3 He melting curve thermometer, designed to be both easy to construct and simple to operate. It is based on a cylindrical pressure gauge, with good linearity of pressure versus inverse capacitance making calibration straightforward. The gas handling system is compact and in principle automatic. The readout electronics is based on a tunnel diode oscillator circuit, since one of the capacitance plates of the gauge is necessarily grounded. We present preliminary data on the performance of the thermometer, which will allow convenient dissemination the new provisional low-temperature scale PLTS-2000.

A SQUID spectrometer is being used to study high-quality single crystals of UPt 3 in low magnetic fields by performing pulsed NMR on 195 Pt. The system uses a multiloop DC SQUID with additional positive feedback and operates in flux-locked loop mode from DC to 3 MHz. It has an overall coupled energy sensitivity of 800 h and a dead time of ∼5 μs. NMR signals from UPt 3 have been observed in both the superconducting mixed state and in the normal state. A bulk platinum marker is used to determine the magnetic field. Measurements of 195 Pt Knight shifts in UPt 3 are reported.

We describe a compact system for pulsed nuclear magnetic resonance at ultralow magnetic fields on small liquid samples ( ∼ 0.14 ml) at room temperature. The broadband spectrometer employs an integrated two-stage superconducting quantum interference device current sensor with a coupled energy sensitivity of 50h, in the white noise limit. Environmental noise is screened using a compact arrangement of mu-metal and a superconducting shield. Proton signals in water have been observed down to 93 nT (a Larmor frequency of 4.0 Hz), with a minimum linewidth of 0.16 Hz measured at ∼ 40 Hz. Two-component free induction decays were observed from oil/water mixtures between 275 and 300 K.

Direct imaging of impressed dc currents inside the head can provide valuable conductivity information, possibly improving electro-magnetic neuroimaging. Ultra-low field magnetic resonance imaging (ULF MRI) at $\mu$T Larmor fields can be utilized for current density imaging (CDI). Here, a measurable impact of the magnetic field $B_{J}$, generated by the impressed current density $J$, on the MR signal is probed using specialized sequences. In contrast to high-field MRI, the full tensor of $B_{J}$ can be derived without rotation of the subject in the scanner, due to a larger flexibility in the sequence design. We present an ULF MRI setup based on a superconducting quantum nterference device (SQUID), which is operating at a noise level of 380 aT Hz$^{-1/2}$ and capable of switching all imaging fields within a pulse sequence. Thereby, the system enables zero-field encoding, where the full tensor of $B_{J}$ is probed in the absence of other magnetic fields. 3D CDI is demonstrated on phantoms with different geometries carrying currents of approximately 2 mA corresponding to current densities between 0.45 and 8 A/m$^{2}$. By comparison to an in vivo acquired head image, we provide insights to necessary improvements in signal-to-noise ratio., Comment: 8 pages, 8 figures, BEAKBEN project

The requirements for the construction of ultra-sensitive SQUID instrumentation as used in biomagnetism are presented. Typically, SQUIDs are inductively coupled to pick-up coils and for this arrangement one can improve the noise performance by increasing the sensing coil area. To achieve optimum sensitivity one has to consider the signal-to-noise ratio (SNR), which is an intricate interplay between source characteristics and noise origin. It turns out that separate pick-up coil designs are needed for various noise characteristics even for an identical source. Hence, a hybrid system with differently sized pick-up coils presents the best option for multipurpose applications. A single channel system with close to SQUID intrinsic noise level is also described. This is possible by utilizing a special dewar design and thereby enabling a further increase in SNR. Such a system might be used for current density imaging and neuronal current imaging by ultra-low-field magnetic resonance where it also must be able to be field-tolerant to up to 100-200 mT., 4 pages, 3 figures, EMBEC & NBC conference 2017

Globally, the demand for improved health care delivery while managing escalating costs is a major challenge. Measuring the biomagnetic fields that emanate from the human brain already impacts the treatment of epilepsy, brain tumours and other brain disorders. This roadmap explores how superconducting technologies are poised to impact health care. Biomagnetism is the study of magnetic fields of biological origin. Biomagnetic fields are typically very weak, often in the femtotesla range, making their measurement challenging. The earliest in vivo human measurements were made with room-temperature coils. In 1963, Baule and McFee (1963 Am. Heart J. 55 95-6) reported the magnetic field produced by electric currents in the heart ('magnetocardiography'), and in 1968, Cohen (1968 Science 161 784-6) described the magnetic field generated by alpha-rhythm currents in the brain ('magnetoencephalography'). Subsequently, in 1970, Cohen et al (1970 Appl. Phys. Lett. 16 278-80) reported the recording of a magnetocardiogram using a Superconducting QUantum Interference Device (SQUID). Just two years later, in 1972, Cohen (1972 Science 175 664-6) described the use of a SQUID in magnetoencephalography. These last two papers set the scene for applications of SQUIDs in biomagnetism, the subject of this roadmap. The SQUID is a combination of two fundamental properties of superconductors. The first is flux quantization - the fact that the magnetic flux ? in a closed superconducting loop is quantized in units of the magnetic flux quantum, ?0 ? h/2e, ? 2.07 × 10-15 Tm2 (Deaver and Fairbank 1961 Phys. Rev. Lett. 7 43-6, Doll R and Nabauer M 1961 Phys. Rev. Lett. 7 51-2). Here, h is the Planck constant and e the elementary charge. The second property is the Josephson effect, predicted in 1962 by Josephson (1962 Phys. Lett. 1 251-3) and observed by Anderson and Rowell (1963 Phys. Rev. Lett. 10 230-2) in 1963. The Josephson junction consists of two weakly coupled superconductors separated by a tunnel barrier or other weak link. A tiny electric current is able to flow between the superconductors as a supercurrent, without developing a voltage across them. At currents above the 'critical current' (maximum supercurrent), however, a voltage is developed. In 1964, Jaklevic et al (1964 Phys. Rev. Lett. 12 159-60) observed quantum interference between two Josephson junctions connected in series on a superconducting loop, giving birth to the dc SQUID. The essential property of the SQUID is that a steady increase in the magnetic flux threading the loop causes the critical current to oscillate with a period of one flux quantum. In today's SQUIDs, using conventional semiconductor readout electronics, one can typically detect a change in ? corresponding to 10-6 ?0 in one second. Although early practical SQUIDs were usually made from bulk superconductors, for example, niobium or Pb-Sn solder blobs, today's devices are invariably made from thin superconducting films patterned with photolithography or even electron lithography. An extensive description of SQUIDs and their applications can be found in the SQUID Handbooks (Clarke and Braginski 2004 Fundamentals and Technology of SQUIDs and SQUID Systems vol I (Weinheim, Germany: Wiley-VCH), Clarke and Braginski 2006 Applications of SQUIDs and SQUID Systems vol II (Weinheim, Germany: Wiley-VCH)). The roadmap begins (chapter 1) with a brief review of the state-of-the-art of SQUID-based magnetometers and gradiometers for biomagnetic measurements. The magnetic field noise referred to the pick-up loop is typically a few fT Hz-1/2, often limited by noise in the metallized thermal insulation of the dewar rather than by intrinsic SQUID noise. The authors describe a pathway to achieve an intrinsic magnetic field noise as low as 0.1 fT Hz-1/2, approximately the Nyquist noise of the human body. They also descibe a technology to defeat dewar noise. Chapter 2 reviews the neuroscientific and clinical use of magnetoencephalography (MEG), by far the most widespread application of biomagnetism with systems containing typically 300 sensors cooled to liquid-helium temperature, 4.2 K. Two important clinical applications are presurgical mapping of focal epilepsy and of eloquent cortex in brain-tumor patients. Reducing the sensor-to-brain separation and the system noise level would both improve spatial resolution. The very recent commercial innovation that replaces the need for frequent manual transfer of liquid helium with an automated system that collects and liquefies the gas and transfers the liquid to the dewar will make MEG systems more accessible. [...]