@article {69902, title = {Chromatix: A differentiable, GPU-accelerated wave-optics library}, journal = {bioRxiv}, year = {2025}, month = {2025 May 2}, abstract = {

Modern microscopy methods incorporate computational modeling of optical systems as an integral part of the imaging process, either to solve inverse problems or enable optimization of the optical system design. These methods often depend on differentiable simulations of optical systems, yet no standardized framework exists{\textemdash}forcing computational optics researchers to repeatedly and independently implement simulations that are prone to errors, difficult to reuse in other applications, and often computationally suboptimal. These common problems limit the potential impact of computational optics as a field. We present Chromatix: an open-source, GPU-accelerated differentiable wave optics library. Chromatix builds on JAX to enable fast simulation of diverse optical systems and inverse problem solving, scaling these simulations from single-CPU laptops to multi-GPU servers. The library implements various optical elements (e.g., lenses, polarizers and spatial light modulators) and multiple light propagation models (e.g., Fresnel approximation, angular spectrum and off-axis propagation) that can be flexibly combined to model various computational optics applications such as snapshot microscopy, holography, and phase retrieval of multiple scattering samples. These simulations can be automatically parallelized to scale across multiple GPUs with a single-line change to the modeling code, enabling simulation and optimization of previously impractical optical system designs. We demonstrate Chromatix{\textquoteright}s capacity to substantially accelerate optics simulation and optimization on existing methods in computational optics, speeding up optical simulation and optimization from 2-6{\texttimes} on a single GPU to up to 22{\texttimes} on 8 GPUs (depending on the particular system being modeled) compared to the original implementations. Chromatix establishes a standard for wave optics simulations, democratizing access to and expanding the design space of computational optics.i

}, doi = {10.1101/2025.04.29.651152}, url = {https://www.biorxiv.org/content/early/2025/05/02/2025.04.29.651152}, author = {Deb, Diptodip and Both, Gert-Jan and Bezzam, Eric and Kohli, Amit and Yang, Siqi and Chaware, Amey and Allier, C{\'e}dric and Cai, Changjia and Anderberg, Geneva and Eybposh, M. Hossein and Schneider, Magdalena C. and Heintzmann, Rainer and Rivera-Sanchez, Fabrizio A. and Simmerer, Corey and Meng, Guanghan and Tormes-Vaquerano, Jovan and Han, SeungYun and Shanmugavel, Sibi Chakravarthy and Maruvada, Teja and Yang, Xi and Kim, Yewon and Diederich, Benedict and Joo, Chulmin and Waller, Laura and Durr, Nicholas J. and P{\'e}gard, Nicolas C. and La Rivi{\`e}re, Patrick J. and Horstmeyer, Roarke and Chowdhury, Shwetadwip and Turaga, Srinivas C.} } @article {69959, title = {Resolution in super-resolution microscopy - facts, artifacts, technological advancements and biological applications}, journal = {J Cell Sci}, volume = {138}, year = {2025}, month = {2025 May 27}, abstract = {

Super-resolution microscopy (SRM) has undeniable potential for scientific discovery, yet still presents many challenges that hinder its widespread adoption, including technical trade-offs between resolution, speed and photodamage, as well as limitations in imaging live samples and larger, more complex biological structures. Furthermore, SRM often requires specialized expertise and complex instrumentation, which can deter biologists from fully embracing the technology. In this Perspective, a follow-up to our recent Q\&A article, we aim to demystify these challenges by addressing common questions and misconceptions surrounding SRM. Experts offer practical insights into how biologists can maximize the benefits of SRM while navigating issues such as photobleaching, image artifacts and the limitations of existing techniques. We also highlight recent developments in SRM that continue to push the boundaries of resolution. Our goal is to equip researchers with the crucial knowledge they need to harness the full potential of SRM.

}, keywords = {Animals, Artifacts, Humans, Microscopy, Microscopy, Fluorescence}, issn = {1477-9137}, doi = {10.1242/jcs.263567}, url = {https://doi.org/10.1242/jcs.263567}, author = {Prakash, Kirti and Baddeley, David and Eggeling, Christian and Fiolka, Reto and Heintzmann, Rainer and Manley, Suliana and Radenovic, Aleksandra and Shroff, Hari and Smith, Carlas and Schermelleh, Lothar} } @article {70085, title = {Time-deterministic cryo-optical microscopy.}, journal = {Light Sci Appl}, volume = {14}, year = {2025}, month = {2025 Aug 23}, pages = {275}, abstract = {

Fluorescence microscopy enables the visualization of cellular morphology, molecular distribution, ion distribution, and their dynamic behaviors during biological processes. Enhancing the signal-to-noise ratio (SNR) in fluorescence imaging improves the quantification accuracy and spatial resolution; however, achieving high SNR at fast image acquisition rates, which is often required to observe cellular dynamics, still remains a challenge. In this study, we developed a technique to rapidly freeze biological cells in milliseconds during optical microscopy observation. Compared to chemical fixation, rapid freezing provides rapid immobilization of samples while more effectively preserving the morphology and conditions of cells. This technique combines the advantages of both live-cell and cryofixation microscopy, i.e., temporal dynamics and high SNR snapshots of selected moments, and is demonstrated by fluorescence and Raman microscopy with high spatial resolution and quantification under low temperature conditions. Furthermore, we also demonstrated that intracellular calcium dynamics can be frozen rapidly and visualized using fluorescent ion indicators, suggesting that ion distribution and conformation of the probe molecules can be fixed both spatially and temporally. These results confirmed that our technique can time-deterministically suspend and visualize cellular dynamics while preserving molecular and ionic states, indicating the potential to provide detailed insights into sample dynamics with improved spatial resolution and temporal accuracy in observations.

}, issn = {2047-7538}, doi = {10.1038/s41377-025-01941-8}, url = {https://doi.org/10.1038/s41377-025-01941-8}, author = {Tsuji, Kosuke and Yamanaka, Masahito and Kumamoto, Yasuaki and Tamura, Shoko and Miyamura, Wakana and Kubo, Toshiki and Mizushima, Kenta and Kono, Kakeru and Hirano, Hanae and Shiozaki, Momoko and Zhao, Xiaowei and Xi, Heqi and Sugiura, Kazunori and Fukushima, Shun-Ichi and Kunimoto, Takumi and Tanabe, Yoshino and Nishida, Kentaro and Mochizuki, Kentaro and Harada, Yoshinori and Smith, Nicholas I and Heintzmann, Rainer and Yu, Zhiheng and Wang, Meng C and Nagai, Takeharu and Tanaka, Hideo and Fujita, Katsumasa} } @article {69517, title = {Resolution in super-resolution microscopy - definition, trade-offs and perspectives.}, journal = {Nat Rev Mol Cell Biol}, year = {2024}, month = {2024 Jul 01}, abstract = {

Super-resolution microscopy (SRM) is gaining popularity in biosciences; however, claims about optical resolution are contested and often misleading. In this Viewpoint, experts share their views on resolution and common trade-offs, such as labelling and post-processing, aiming to clarify them for biologists and facilitate deeper understanding and best use of SRM.

}, issn = {1471-0080}, doi = {10.1038/s41580-024-00755-7}, author = {Prakash, Kirti and Baddeley, David and Eggeling, Christian and Fiolka, Reto and Heintzmann, Rainer and Manley, Suliana and Radenovic, Aleksandra and Smith, Carlas and Shroff, Hari and Schermelleh, Lothar} } @article {47162, title = {The 2015 super-resolution microscopy roadmap.}, journal = {Journal of Physics D: Applied Physics}, volume = {48}, year = {2015}, month = {2015 Oct 14}, pages = {443001}, abstract = {

Far-field optical microscopy using focused light is an important tool in a number of scientific disciplines including chemical, (bio)physical and biomedical research, particularly with respect to the study of living cells and organisms. Unfortunately, the applicability of the optical microscope is limited, since the diffraction of light imposes limitations on the spatial resolution of the image. Consequently the details of, for example, cellular protein distributions, can be visualized only to a certain extent. Fortunately, recent years have witnessed the development of {\textquoteright}super-resolution{\textquoteright} far-field optical microscopy (nanoscopy) techniques such as stimulated emission depletion (STED), ground state depletion (GSD), reversible saturated optical (fluorescence) transitions (RESOLFT), photoactivation localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), structured illumination microscopy (SIM) or saturated structured illumination microscopy (SSIM), all in one way or another addressing the problem of the limited spatial resolution of far-field optical microscopy. While SIM achieves a two-fold improvement in spatial resolution compared to conventional optical microscopy, STED, RESOLFT, PALM/STORM, or SSIM have all gone beyond, pushing the limits of optical image resolution to the nanometer scale. Consequently, all super-resolution techniques open new avenues of biomedical research. Because the field is so young, the potential capabilities of different super-resolution microscopy approaches have yet to be fully explored, and uncertainties remain when considering the best choice of methodology. Thus, even for experts, the road to the future is sometimes shrouded in mist. The super-resolution optical microscopy roadmap of\ Journal of Physics D: Applied Physicsaddresses this need for clarity. It provides guidance to the outstanding questions through a collection of short review articles from experts in the field, giving a thorough discussion on the concepts underlying super-resolution optical microscopy, the potential of different approaches, the importance of label optimization (such as reversible photoswitchable proteins) and applications in which these methods will have a significant impact.

}, doi = {10.1088/0022-3727/48/44/443001}, author = {Hell, Stefan W and Sahl, Steffen J and Bates, Mark and Zhuang, Xiaowei and Heintzmann, Rainer and Booth, Martin J and Bewersdorf, Joerg and Shtengel, Gleb and Hess, Harald F and Tinnefeld, Philip} } @article {47661, title = {Bayesian localization microscopy reveals nanoscale podosome dynamics.}, journal = {Nature methods}, volume = {9}, year = {2012}, month = {2012 Feb}, pages = {195-200}, abstract = {

We describe a localization microscopy analysis method that is able to extract results in live cells using standard fluorescent proteins and xenon arc lamp illumination. Our Bayesian analysis of the blinking and bleaching (3B analysis) method models the entire dataset simultaneously as being generated by a number of fluorophores that may or may not be emitting light at any given time. The resulting technique allows many overlapping fluorophores in each frame and unifies the analysis of the localization from blinking and bleaching events. By modeling the entire dataset, we were able to use each reappearance of a fluorophore to improve the localization accuracy. The high performance of this technique allowed us to reveal the nanoscale dynamics of podosome formation and dissociation throughout an entire cell with a resolution of 50 nm on a 4-s timescale.

}, keywords = {Bayes Theorem, Cell Line, Tumor, Humans, Nanotechnology}, issn = {1548-7105}, doi = {10.1038/nmeth.1812}, author = {Cox, Susan and Rosten, Edward and Monypenny, James and Jovanovic-Talisman, Tijana and Burnette, Dylan T and Lippincott-Schwartz, Jennifer and Jones, Gareth E and Heintzmann, Rainer} } @article {4634, title = {Simplified approach to diffraction tomography in optical microscopy.}, journal = {Optics Express}, volume = {17}, year = {2009}, month = {2009 Jul 20}, pages = {12407-17}, abstract = {

We present a novel microscopy technique to measure the scattered wavefront emitted from an optically transparent microscopic object. The complex amplitude is decoded via phase stepping in a common-path interferometer, enabling high mechanical stability. We demonstrate theoretically and practically that the incoherent summation of multiple illumination directions into a single image increases the resolving power and facilitates image reconstruction in diffraction tomography. We propose a slice-by-slice object-scatter extraction algorithm entirely based in real space in combination with ordinary z-stepping. Thereby the computational complexity affiliated with tomographic methods is significantly reduced. Using the first order Born approximation for weakly scattering objects it is possible to obtain estimates of the scattering density from the exitwaves.

}, keywords = {Algorithms, Cheek, Computer-Assisted, Equipment Design, Fourier Analysis, Green Fluorescent Proteins, Humans, Image Processing, Imaging, Interferometry, Microscopy, Models, Optics and Photonics, Radiation, Scattering, Statistical, Three-Dimensional, Tomography}, issn = {1094-4087}, author = {Fiolka, Reto and Wicker, Kai and Heintzmann, Rainer and Stemmer, Andreas} }