Gigan leads the Optical Imaging group at LKB, pioneering wavefront shaping and computational imaging through scattering media. Research directions: (1) Wavefront shaping / transmission matrix — measuring the ~10^5 optical modes of a scattering sample's transmission matrix to focus and image through highly scattering biological tissues; roadmap on deep tissue imaging (J. Phys. Photonics 2022, lead author); (2) Multimode quantum optics through complex media — spatially multimode squeezed states transmitted through scattering media for quantum-enhanced imaging; (3) Optical computing / AI — using multiple scattering as a physical neural network for reservoir computing and nonlinear machine learning (LightOn spin-off, 2016); (4) Neurophotonics applications — focusing through the skull for deep brain imaging. Two ERC grants (2011, 2017). Optica Fellow. IUF member (2016–2021).
Sylvain Gigan's PICO (Photonics, Information, and Complexity) group focuses on imaging through and with complex and scattering media. Research: (1) wavefront shaping through scattering media — adaptive optics and transmission matrix approaches for deep-tissue fluorescence imaging; (2) multimode quantum optics through complex media — pushing quantum light through scattering and multi-mode fibres; (3) analogue computing with random optical scattering media. Key for biosensing: deep tissue imaging at high spatial resolution and quantum-enhanced light manipulation.
Goldys was Deputy Director of the ARC Centre of Excellence for Nanoscale BioPhotonics and now leads a nanoscale biophotonics group in Biomedical Engineering. The programme is about extracting diagnostic information from very weak optical signals inside cells and tissue: luminescent and upconverting nanoparticle probes with long lifetimes that allow time-gated, background-free detection; hyperspectral unmixing of native cellular autofluorescence (NADH, FAD, porphyrins) as a completely label-free readout of cell state, which she has pushed toward clinical use in reproductive medicine and cancer; and nanoparticle-mediated therapy. Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — time-gated luminescence and NV relaxometry are two solutions to the same problem — how to read a faint, specific signal out of an autofluorescent, optically hostile biological background — and her clinical translation experience is exactly the missing capability in most quantum-biosensing groups. Preferred attribute present: advanced/label-based imaging with a genuine human-application pathway.
Gooding is one of the world's most-cited biosensor scientists (inaugural editor-in-chief of ACS Sensors) and runs a group of over thirty researchers spanning surface chemistry, electrochemistry and nanomedicine. The sensing programme that matters here is the move from ensemble to digital, single-molecule-resolved detection: nanoparticle-tethered electrochemical sensors in which single binding events are counted rather than averaged, nanopore blockade sensors for protein biomarkers such as PSA, amplification-free nucleic-acid detection, and antifouling surface chemistries that make any of this work in real biological fluid. He has a strong commercialisation record (AgaMatrix glucose sensors). Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — his single-molecule-counting philosophy is the biosensing analogue of moving from a pT/sqrt(Hz) NV ensemble to single-spin detection: in both cases the sensitivity gain comes from resolving individual events rather than improving an averaged signal. He is also the obvious collaborator for anyone trying to functionalise a diamond or nanoparticle quantum sensor for a real analyte.
Graham's group develops SERS-based nanoplasmonic sensing platforms for biomedical applications. Research directions: (1) SERS nanogap substrates — engineering colloidal gold and silver nanostructure clusters with reproducible, high-enhancement nanogaps for single-molecule SERS detection; (2) In vivo SERS — intravenous SERS nanotags for tumor imaging and multiplexed biomarker detection in living organisms; (3) Microfluidic SERS — integrating SERS probes in microfluidic channels for continuous monitoring of circulating biomarkers; (4) Quantitative SERS — calibration strategies for absolute analyte quantification for clinical diagnostics. Extreme sensitivity (single-molecule) relevant to quantum-enhanced optical sensing.
Grucker works on optically-pumped, spin-exchange hyperpolarized helium-3 for quantum-fluid physics and biomedical MRI contrast, part of LKB's polarized-helium team that historically bridges fundamental AMO physics with clinical lung-imaging applications.
Kristin Grußmayer (Assistant Professor, BioNanoscience, 2021) develops super-resolution microscopy tools. Research: (1) SOFI (super-resolution optical fluctuation imaging) — camera-based super-resolution using photon statistics; (2) multi-plane super-resolution and quantitative phase imaging — combined modalities for 3D sub-diffraction imaging; (3) new fluorescence probe classes for SMLM; (4) AI-driven smart microscopy for automated phenotype detection. Marie Curie Fellow (EPFL, Lasser group). Group established 2021.
Gruszka's Chromatin Dynamics Lab combines real-time single-molecule imaging with biochemistry and biophysics (including in Xenopus egg-extract systems) to study how epigenetic information carried by nucleosomes is disassembled and re-established during DNA replication. The lab is actively recruiting postdoctoral fellows.
Ham's group builds CMOS integrated-circuit platforms spanning scalable, chip-based NMR spectrometers (including impedance-tuned microwave loops for controlling dense NV-diamond spin ensembles, developed with Ronald Walsworth) and CMOS intracellular microelectrode arrays that record from thousands of neurons in parallel — a dual quantum-sensing/bioelectronic-sensing program built around scaling sensitive spin- and electrode-based sensors onto integrated circuits.
Develops microfluidics and imaging-based spatial-omics technologies for high-resolution, high-throughput assays and modeling of complex biological systems, including bottom-up construction of synthetic cells.