Expansion of the global RNA virome reveals diverse clades of bacteriophages

Neri, Uri; Wolf, Yuri I.; Roux, Simon; Camargo, Antonio Pedro; Lee, Benjamin; Kazlauskas, Darius; Chen, I. Min; Ivanova, Natalia; Zeigler Allen, Lisa; Paez-Espino, David; Bryant, Donald A.; Bhaya, Devaki; Krupovic, Mart; Dolja, Valerian V.; Kyrpides, Nikos C.; Koonin, Eugene V.; Gophna, Uri; Narrowe, Adrienne B.; Probst, Alexander J.; Sczyrba, Alexander; Kohler, Annegret; Séguin, Armand; Shade, Ashley; Campbell, Barbara J.; Lindahl, Björn D.; Reese, Brandi Kiel; Roque, Breanna M.; DeRito, Chris; Averill, Colin; Cullen, Daniel; Beck, David A.C.; Walsh, David A.; Ward, David M.; Wu, Dongying; Eloe-Fadrosh, Emiley; Brodie, Eoin L.; Young, Erica B.; Lilleskov, Erik A.; Castillo, Federico J.; Martin, Francis M.; LeCleir, Gary R.; Attwood, Graeme T.; Cadillo-Quiroz, Hinsby; Simon, Holly M.; Hewson, Ian; Grigoriev, Igor V.; Tiedje, James M.; Jansson, Janet K.; Lee, Janey; VanderGheynst, Jean S.; Dangl, Jeff; Bowman, Jeff S.; Blanchard, Jeffrey L.; Bowen, Jennifer L.; Xu, Jiangbing; Banfield, Jillian F.; Deming, Jody W.; Kostka, Joel E.; Gladden, John M.; Rapp, Josephine Z.; Sharpe, Joshua; McMahon, Katherine D.; Treseder, Kathleen K.; Bidle, Kay D.; Wrighton, Kelly C.; Thamatrakoln, Kimberlee; Nusslein, Klaus; Meredith, Laura K.; Ramirez, Lucia; Buee, Marc; Huntemann, Marcel; Kalyuzhnaya, Marina G.; Waldrop, Mark P.; Sullivan, Matthew B.; Schrenk, Matthew O.; Hess, Matthias; Vega, Michael A.; O’Malley, Michelle A.; Medina, Monica; Gilbert, Naomi E.; Delherbe, Nathalie; Mason, Olivia U.; Dijkstra, Paul; Chuckran, Peter F.; Baldrian, Petr; Constant, Philippe; Stepanauskas, Ramunas; Daly, Rebecca A.; Lamendella, Regina; Gruninger, Robert J.; McKay, Robert M.; Hylander, Samuel; Lebeis, Sarah L.; Esser, Sarah P.; Acinas, Silvia G.; Wilhelm, Steven S.; Singer, Steven W.; Tringe, Susannah S.; Woyke, Tanja; Reddy, T.B.K.; Bell, Terrence H.; Mock, Thomas; McAllister, Tim; Thiel, Vera; Denef, Vincent J.; Liu, Wen-Tso; Martens-Habbena, Willm; Allen Liu, Xiao-Jun; Cooper, Zachary S.; Wang, Zhong

doi:10.1016/j.cell.2022.08.023

Recent advancements in nanofabrication technology has led to commercialization of single-chip polarization and color-polarization imaging sensors in the visible spectrum. Novel applications have arisen with the emergence of these sensors leading to questions about noise in the reconstructed polarization images. In this paper, we provide theoretical analysis for the input and output referred noise for the angle and degree of linear polarization information. We validated our theoretical model with experimental data collected from a division of focal plane polarization sensor. Our data indicates that the noise in the angle of polarization images depends on both incident light intensity and degree of linear polarization and is independent of the incident angle of polarization. However, noise in degree of linear polarization images depends on all three parameters: incident light intensity, angle and degree of linear polarization. This theoretical model can help guide the development of imaging setups to record optimal polarization information.

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