@article {70359,
	title = {Adapting upright light sheet fluorescence microscopy for imaging at air-liquid interface},
	journal = {bioRxiv},
	year = {2026},
	month = {2026 Apr 09},
	abstract = {<p>Light sheet fluorescence microscopy (LSFM) is increasingly appreciated as the gold standard for gentle, volumetric imaging with fast acquisition speeds and/or long imaging durations. However, the often-constrained sample space of these microscopes has precluded a specific class of biological specimens from being studied with these tools: those requiring an air-liquid interface (ALI). Here, we present a device for robust imaging at ALI on an upright light sheet microscope with dipping objectives. We demonstrate the system using three relevant use-cases: ex vivo embryonic mouse salivary glands, human epidermal equivalent cultures, and in vivo adult Drosophila melanogaster brains. While the device presented is engineered for one specific light sheet microscope design, it provides a blueprint for easy adaptation to other systems. In doing so, it can potentially spur the use of LSFM for model systems that have so far been unable to take advantage of this powerful technology.</p>
},
	doi = {10.64898/2026.04.07.716945},
	url = {https://www.biorxiv.org/content/early/2026/04/09/2026.04.07.716945},
	author = {Hobson, Chad M. and Izumi, Kenji and Aaron, Jesse S. and Bharathan, Navaneetha Krishnan and Ceriani, M. Fernanda and Giang, William and Ispizua, Juan I. and Kowalczyk, Andrew P. and Lee, Rachel M. and Morales, E. Angelo and Puls, Owen F. and Quarles, Ellen and Rodriguez-Caron, Micaela and Stahley, Sara N. and Tassara, Francisco and Wang, Shaohe and Yao, Shunze and Tsuchiya, Takanori and Chew, Teng-Leong}
}
@article {70257,
	title = {Redefining colocalization analysis with a novel phasor mixing coefficient},
	journal = {Journal of Cell Science},
	volume = {139},
	year = {2026},
	month = {2026 Jan 19},
	pages = {jcs264388},
	abstract = {<p>The first step to probing any potential interaction between two biomolecules is to determine their spatial association. In other words, if two biomolecules localize similarly within a cell, then it is plausible they could interact. Traditionally, this is quantified through various colocalization metrics. These measures infer this association by estimating the degree to which fluorescent signals from each biomolecule overlap or correlate. However, these metrics are, at best, proxies, and they depend strongly on various experimental choices. Here, we define a new strategy that leverages multispectral imaging and phasor analysis, termed the phasor mixing coefficient (PMC). The PMC measures the precise mixing of fluorescent signals in each pixel. We demonstrate how the PMC captures complex biological subtlety by offering two distinct values, a global measure of overall color mixing and the homogeneity thereof. We additionally show that the PMC exhibits less sensitivity to signal-to-noise ratio, intensity threshold and background signal compared to canonical methods. Moreover, this method provides a means to visualize color mixing at each pixel. We show that the PMC offers users a nuanced and robust metric to quantify biological association.</p>
},
	issn = {0021-9533},
	doi = {10.1242/jcs.264388},
	url = {https://doi.org/10.1242/jcs.264388},
	author = {Puls, Owen F. and Aaron, Jesse S. and Quarles, Ellen K. and Khuon, Satya and Eisenman, Leanna R. and Kamaid, Andres and Malacrida, Leonel and Chew, Teng-Leong}
}
