1.André, O., Ahnlide, J.K., Norlin, N., Swaminathan, V.,Nordenfelt, P. Data-driven microscopy allows for automatedcontext-specific acquisition of high-fidelity image data.
Cell Reports Methods.2023.https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(23)00030-9

2.Prater, C.Bai, Y., Konings, S., Martinsson, I., Swaminathan, V.,Nordenfelt, P., Gouras, G., Borondics, F., & Klementieva O.Fluorescently Guided Optical Photothermal Infrared Microspectroscopy for Protein-Specific Bioimaging at Subcellular Level.
Journal ofMedicinal Chemistry.2023.https://pubs.acs.org/doi/10.1021/acs.jmedchem.2c01359

3.Kumra Ahnlide, V., Kumra Ahnlide, J., Wrighton, S., Beech, J. P. &Nordenfelt, P.Nanoscale binding site localization by molecular distance estimation on native cell surfaces using topological image averaging.eLife. 2022.https://elifesciences.org/articles/64709

Manuscripts:
1.Correlative imaging using inherent spatial-geometric relationships of cell centroids
Oscar André, Johannes Kumra Ahnlide, Swathi Packirisamy, Nils Norlin, Vinay Swaminathan, and Pontus Nordenfelt

Abstract:Correlative microscopy is the process of imaging and collecting information on a specimen on multiple systems, combining the power of each technique while offsetting individual limitations. Traditionally, correlative microscopy approaches are either hardware-dependent or rely on image feature detection to align and correlate data from multiple microscopy systems. However, these approaches are sensitive to signal characteristics rather than content, making them unsuitable for certain applications. Here, we present an alternative method using the inherent spatial relationships between objects to establish a normalized coordinate space description that can be used to re-align a sample between microscopes. We use cell centroids to estimate cellular coordinates, which are easily acquired using cell nuclei staining. The method requires a complete coordinate description for the first microscope used and then only parts of the sample for subsequent calibration on a new system. As proof of principle, we apply our method to combine population-wide live-cell migration data with high-magnification imaging of sub-cellular properties using TIRF and SIM, all on separate micro-scope systems. The method is simple and fast to run, and we believe that it will be a useful alternative to achieve correlative microscopy of cellular samples.