Abstract Single-molecule localization microscopy (SMLM) methods enable fluorescence imaging of biological specimens with nanometer-scale resolution. Although fluorophore localization precision is theoretically limited only by photon statistics, in practice the resolution of SMLM images is often degraded by physical drift of the sample and/or the microscope during data acquisition. At present, correcting this effect requires either specialized stabilization systems or computationally intensive post-processing, and established drift correction algorithms based on image cross-correlation suffer from limited temporal resolution. In this study we introduce COMET, a new method for SMLM drift estimation which achieves a substantially higher precision, accuracy, and temporal resolution compared with existing algorithmic approaches. We demonstrate that improved drift estimation translates directly into higher SMLM image resolution, limited by localization precision rather than drift artifacts. COMET is applicable to all types of SMLM data, operating directly on 2D or 3D localization datasets, and is readily integrated into analysis workflows. We benchmark its performance using both simulations and experiments, including STORM, MINFLUX, and Sequential OligoSTORM measurements, where long acquisition times make drift correction particularly challenging. COMET is published as an open-source, Python-based software project and is also available on open cloud-computing platforms.

In the burgeoning field of super-resolution fluorescence microscopy, significant efforts are being dedicated to expanding its applications into the 3D domain. Various methodologies have been developed that enable isotropic resolution at the nanometer scale, facilitating the visualization of 3D subcellular structures with unprecedented clarity. Central to this progress is the need for reliable 3D structures that are biologically compatible for validating resolution capabilities. Choosing the optimal standard poses a considerable challenge, necessitating, among other attributes, precisely defined geometry and the capability for specific labeling at sub-diffraction-limit distances. In this context, the use of the non-human-infecting virus, bacteriophage T4 is introduced as an effective and straightforward bio-ruler for 3D super-resolution imaging. Employing DNA point accumulation for imaging in nanoscale topography (DNA-PAINT) along with the technique of astigmatic imaging, the icosahedral capsid of the bacteriophage T4, measuring 120 nm in length and 86 nm in width, and its hollow viral tail is uncovered. This level of detail in light microscopy represents a significant advancement in T4 imaging. A simple protocol for the production and preparation of samples is further outlined. Moreover, the extensive potential of bacteriophage T4 as a multifaceted 3D bio-ruler, proposing its application as a novel benchmark for 3D super-resolution imaging in biological studies is explored.

MINimal photon FLUXes (MINFLUX) offers nanometer localization precision, with lower fluorophore requirements than for other super-resolution microscopy (SRM) techniques. Nonetheless, low localization probabilities hamper its application, and use of less bright and photostable fluorophores, including near-infrared (NIR) fluorophores has been difficult to realize. Here, we devised strategies overcoming these limitations. We systematically studied the blinking properties of far-red and NIR cyanine fluorophores, followed by simulations of MINFLUX localizations, over typical time scales (microsecond to 10 milliseconds), sample and excitation conditions for MINFLUX imaging. We identified fluorophore blinking via photoisomerization and photoreduction as the main cause of localization errors, and that use of balanced redox buffers and repetitive excitation beam scans can suppress such errors. Implementing these strategies, we could demonstrate NIR-MINFLUX imaging with nanometer localization precision, thereby also presenting an overall strategy to design optimal sample and excitation conditions, for MINFLUX imaging and for SRM in general.

Stimulated Raman Scattering (SRS) microscopy was developed for the label-free detection of molecular groups, addressing the speed limitations of spontaneous Raman microscopy. Standard SRS microscopy typically operates with laser sources at an 80 MHz repetition rate and a color-tuning speed of approximately 0.1 Hz to target different molecular groups. Here, we present a novel laser system that overcomes these speed limitations, achieving an order-of-magnitude improvement in both color-tuning and imaging speed. Our system features a reduced repetition rate of 40 MHz, enabling SRS imaging that is ten times faster than standard systems while maintaining the same average power at the sample. This is achieved through increased pulse energy and laser modulation at half the repetition rate. Furthermore, the system provides nearly ten times faster color-tuning across an extended range (660-1010 nm) by employing angle-tuning of nonlinear crystals instead of temperature-tuning. The improved performance is demonstrated in direct comparison with a standard SRS laser system, showcasing the potential for significantly enhanced imaging capabilities. ### Competing Interest Statement AE: Abberior Instruments GmbH (I), GS, PT, SP & IR: APE Angewandte Physik & Elektronik GmbH (E).

Fluorescence microscopy is an essential tool in biology. It has revealed great variability at multiple scales, in macromolecular complexes, cells, and organisms. Understanding this variability will reveal the mechanisms by which genetically or biochemically identical systems adopt different biological states. Achieving this requires the ability to extract both the underlying biological structure and how it varies across the population. Currently the field lacks general techniques to deal with arbitrary structures and different types of variability. Here we present SQUASSH, a new convolutional neural network-based approach to freely fit structural models to fluorescence microscopy data that simultaneously quantifies variability to reveal correlations, dynamics, and systematic distortions. SQUASSH is highly versatile: it accommodates diverse imaging modalities at length scales from nm to mm. This approach opens up applications such as imaging nanoscale macromolecular structures, revealing patterns in shape changes from organelle to tissue scale, and characterizing systems biology of dynamical processes. ### Competing Interest Statement The authors have declared no competing interest. Biotechnology and Biological Sciences Research Council, https://ror.org/00cwqg982, BB/T011823/1 Royal Society, https://ror.org/03wnrjx87, URF\R1\211329

In the burgeoning field of super-resolution fluorescence microscopy, significant efforts are being dedicated to expanding its applications into the three-dimensional domain. Various methodologies have been developed that enable isotropic resolution at the nanometer scale, facilitating the visualization of three-dimensional subcellular structures with unprecedented clarity. Central to this progress is the need for reliable 3D structures that are biologically compatible for validating resolution capabilities. Choosing the optimal standard poses a considerable challenge, necessitating, among other attributes, precisely defined geometry and the capability for specific labeling at sub-diffraction-limit distances. In this context, we introduce the use of the non-human-infecting virus, bacteriophage T4, as an effective and straightforward bio-ruler for three-dimensional super-resolution imaging. Employing DNA point accumulation for imaging in nanoscale topography (DNA-PAINT) along with the technique of astigmatic imaging, we uncover the icosahedral capsid of the bacteriophage T4, measuring 120 nm in length and 86 nm in width, and its hollow viral tail. This level of detail in light microscopy represents a significant advancement. We further outline a simple protocol for the production and preparation of samples. Moreover, we explore the extensive potential of bacteriophage T4 as a multi-faceted 3D bio-ruler, proposing its application as a novel benchmark for three-dimensional super-resolution imaging in biological studies. ### Competing Interest Statement The authors have declared no competing interest.

MINimal photon FLUXes (MINFLUX) offers super-resolution microscopy (SRM) with nanometer localization precision, with more relaxed fluorophore brightness and photostability requirements than for other SRM techniques. Nonetheless, low localization probabilities have been reported in several MINFLUX studies, and a broader use of less bright and photostable fluorophores, including near-infrared (NIR) fluorophores has been difficult to realize. In this work, we identified fluorophore blinking as a main cause of erroneous (and dismissed) fluorophore localizations in MINFLUX imaging and devised strategies to overcome these effects. We systematically studied the blinking/switching properties of cyanine fluorophores emitting in the far-red or NIR range, and over typical time scales (microseconds-10ms), sample and excitation conditions used in MINFLUX imaging. By subsequent simulations of representative MINFLUX localization procedures, we found that trans-cis isomerization, and in particular photo-reduction of the fluorophores, can generate significant localization errors. However, these localization errors could be suppressed by balanced redox buffers and repetitive excitation beam scans. Implementing these strategies, and replacing the slower, intrinsic switching of the fluorophores needed for the localization by transient binding of fluorophore-labelled DNA strands to complementary DNA strands attached to the targets (DNA-PAINT), we could for the first time demonstrate NIR-MINFLUX imaging with nanometer localization precision. This work presents an overall strategy, where fluorophore blinking characterization and subsequent simulations make it possible to design optimal sample and excitation conditions, opening for NIR-MINFLUX imaging, as well as for a broader use of fluorophores in MINFLUX and related SRM studies. ### Competing Interest Statement The authors have declared no competing interest.

One hallmark of apoptosis is the oligomerization of BAX and BAK to form a pore in the mitochondrial outer membrane, which mediates the release of pro-apoptotic intermembrane space proteins into the cytosol. Cells overexpressing BAX or BAK fusion proteins are a powerful model system to study the dynamics and localization of these proteins in cells. However, it is unclear whether overexpressed BAX and BAK form the same ultrastructural assemblies following the same spatiotemporal hierarchy as endogenously expressed proteins. Combining live- and fixed-cell STED super-resolution microscopy, we show that overexpression of BAK results in novel BAK structures, which are virtually absent in non-overexpressing apoptotic cells. We further demonstrate that in wild type cells, BAK is recruited to apoptotic pores before BAX. Both proteins together form unordered, mosaic rings on apoptotic mitochondria in immortalized cell culture models as well as in human primary cells. In BAX- or BAK- single-knockout cells, the remaining protein is able to form rings independently. The heterogeneous nature of these rings in both wild type as well as single-knockout cells corroborates the toroidal apoptotic pore model.

Cristae are invaginations of the mitochondrial inner membrane that are crucial for cellular energy metabolism. The formation of cristae requires the presence of a protein complex known as MICOS, which is conserved across eukaryotic species. One of the subunits of this complex, MIC10, is a transmembrane protein that supports cristae formation by oligomerization. In Drosophila melanogaster, three MIC10-like proteins with different tissue-specific expression patterns exist. We demonstrate that CG41128/MINOS1b/DmMIC10b is the major MIC10 orthologue in flies. Its loss destabilizes MICOS, disturbs cristae architecture, and reduces the life span and fertility of flies. We show that DmMIC10b has a unique ability to polymerize into bundles of filaments, which can remodel mitochondrial crista membranes. The formation of these filaments relies on conserved glycine and cysteine residues, and can be suppressed by the co-expression of other Drosophila MICOS proteins. These findings provide new insights into the regulation of MICOS in flies, and suggest potential mechanisms for the maintenance of mitochondrial ultrastructure.

Mitochondria are essential eukaryotic double-membrane organelles. The convoluted mitochondrial inner membrane forms highly organized invaginations, termed cristae, which are crucial for energy metabolism. Cristae formation requires MICOS, a conserved hetero-oligomeric inner membrane complex. The MICOS core subunit MIC10 is a small transmembrane protein that oligomerizes through highly conserved glycine-rich motifs to control cristae formation. Sequence alignments show that D. melanogaster exhibits three MIC10-like proteins with different tissue-specific expression patterns. Here, we show that the ubiquitously expressed Dmel_CG41128/MINOS1b/DmMIC10b is the major MIC10 orthologue in flies. Loss of DmMIC10b disturbs cristae architecture of mitochondria and reduces the life-span and fertility of flies. Moreover, using fluorescence nanoscopy and electron tomography, we demonstrate that despite its high similarity to the MIC10 proteins from yeast and humans, DmMIC10b exhibits the unique ability to polymerize into elongated filaments upon overexpression. DmMIC10b filaments form bundles which accumulate in the intermembrane space and alter the shape of mitochondrial cristae membranes. We show that the formation of the filaments relies on conserved glycine and cysteine residues and is suppressed by co-expression of other MICOS proteins. Thereby, our findings provide new insights into the regulation of MICOS in flies.### Competing Interest StatementThe authors have declared no competing interest.

Dual-objective 4Pi fluorescence detection enables single molecule localization microscopy, e.g. PALM and STORM, with sub-10 nanometer spatial resolution in 3D. Despite its outstanding sensitivity, wider application of this technique has been hindered by complex instrumentation requirements and the challenging nature of the data analysis. The point spread function (PSF) of the 4Pi optical system is difficult to model, leading to periodic image artifacts and compromised resolution. In this work we report the development of a 4Pi-STORM microscope which obtains improved resolution and accuracy by modeling the 4Pi PSF dynamically, while using a simpler optical design. We introduce dynamic spline PSF models, which incorporate fluctuations in the modulation phase of the experimentally determined PSF, capturing the temporal dynamics of the optical system. Our method reaches the theoretical limits for localization precision while largely eliminating phase-wrapping artifacts, by making full use of the information content of the data. With a 3D precision as high as 2 – 3 nanometers, 4Pi-STORM achieves new levels of image detail, and extends the range of biological questions that can be addressed by fluorescence nanoscopy, as we demonstrate by investigating protein and nucleic acid organization in primary neurons and mammalian mitochondria.

Single molecule localization microscopy offers in principle resolution down to the molecular level, but in practice this is limited primarily by incomplete fluorescent labeling of the structure. This missing information can be completed by merging information from many structurally identical particles. In this work, we present an approach for 3D single particle analysis in localization microscopy which hugely increases signal-to-noise ratio and resolution and enables determining the symmetry groups of macromolecular complexes. Our method does not require a structural template, and handles anisotropic localization uncertainties. We demonstrate 3D reconstructions of DNA-origami tetrahedrons, Nup96 and Nup107 subcomplexes of the nuclear pore complex acquired using multiple single molecule localization microscopy techniques, with their structural symmetry deducted from the data.

We present an approach for 3D particle fusion in localization microscopy which dramatically increases signal-to-noise ratio and resolution in single particle analysis. Our method does not require a structural template, and properly handles anisotropic localization uncertainties. We demonstrate 3D particle reconstructions of the Nup107 subcomplex of the nuclear pore complex (NPC), cross-validated using multiple localization microscopy techniques, as well as two-color 3D reconstructions of the NPC, and reconstructions of DNA-origami tetrahedrons.

Building on methods from electron microscopy, researchers are applying nanoscale fluorescence imaging to address questions in structural biology.