@article {70373,
	title = {Raster photostimulation of large-scale neural populations},
	journal = {bioRxiv},
	year = {2026},
	month = {2026 Apr 24},
	abstract = {<p>Neural computations are implemented by distributed neural populations that often span multiple brain areas. Causal photo-activation experiments done simultaneously with neural recordings can greatly improve our understanding of these computations, but such methods are typically limited to small subsets of neurons in restricted fields of view. Here we describe a new system called raster photostimulation for photo-activating and recording thousands of neurons, over a short 300 ms time window and over a large 5 mm field-of-view on a two-photon mesoscope. The photo-activation is precisely matched to the neural recording configuration, as it uses the same optical path, although with a different laser that is independently gated. We demonstrate pixel-level precision, frame-by-frame mask updating, and single-frame photostimulation of thousands of neurons. While this method lacks the precise temporal control of alternative methods, it compensates with ease-of-use, spatial precision, cost of implementation and by pushing the limits on the number of near-simultaneously stimulated neurons.</p>
},
	doi = {10.64898/2026.04.21.719951},
	url = {https://www.biorxiv.org/content/early/2026/04/24/2026.04.21.719951},
	author = {LaFosse, Paul K. and Flickinger, Daniel and Jaindl, Georg and Drinnenberg, Antonia and Gr{\o}dem, Sverre and Lensj{\o}, Kristian K. and Ramakrishnan, Charu and Siverts, La{\textquoteright}Akea and Zeng, Hongkui and Tasic, Bosiljka and Daigle, Tanya L. and Fyhn, Marianne and Deisseroth, Karl and Stringer, Carsen and Pachitariu, Marius}
}
@article {65113,
	title = {Software for lattice light-sheet imaging of FRET biosensors, illustrated with a new Rap1 biosensor.},
	journal = {The Journal of Cell Biology},
	volume = {218},
	year = {2019},
	month = {2019 Sep 2},
	pages = {3153-3160},
	abstract = {<p>Lattice light-sheet microscopy (LLSM) is valuable for its combination of reduced photobleaching and outstanding spatiotemporal resolution in 3D. Using LLSM to image biosensors in living cells could provide unprecedented visualization of rapid, localized changes in protein conformation or posttranslational modification. However, computational manipulations required for biosensor imaging with LLSM are challenging for many software packages. The calculations require processing large amounts of data even for simple changes such as reorientation of cell renderings or testing the effects of user-selectable settings, and lattice imaging poses unique challenges in thresholding and ratio imaging. We describe here a new software package, named ImageTank, that is specifically designed for practical imaging of biosensors using LLSM. To demonstrate its capabilities, we use a new biosensor to study the rapid 3D dynamics of the small GTPase Rap1 in vesicles and cell protrusions.</p>
},
	issn = {0021-9525},
	doi = {10.1083/jcb.201903019},
	url = {http://www.jcb.org/lookup/doi/10.1083/jcb.201903019},
	author = {O{\textquoteright}Shaughnessy, Ellen C. and Stone, Orrin J. and LaFosse, Paul K. and Azoitei, Mihai L. and Tsygankov, Denis and Heddleston, John M. and Legant, Wesley R. and Wittchen, Erika S. and Burridge, Keith and Elston, Timothy C. and Betzig, Eric and Chew, Teng-Leong and Adalsteinsson, David and Hahn, Klaus M.}
}
