Determination of the swimming trajectory and speed of chain-forming dinoflagellate Cochlodinium polykrikoides with digital holographic particle tracking velocimetry

Sohn, Myung-Hwan; Seo, Kyung Won; Choi, Yong Seok; Lee, Sang Joon; Kang, Young Sil; Kang, Yong Jin

doi:10.1007/s00227-010-1581-7

Cited by 44 publications

(27 citation statements)

References 30 publications

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“…More advanced microscopy configurations (17)(18)(19) or holographic imaging schemes (20)(21)(22)(23)(24)(25)(26)(27)(28) have also been used to resolve 3D trajectories of sperms of other species. However, these previous approaches have not reported submicron 3D localization accuracy throughout a large observation volume of ≥1 μL.…”

Section: Discussionmentioning

confidence: 99%

“…Compared to earlier reports that also used holographic imaging techniques (20)(21)(22)(23)(24)(25)(26)(27)(28) to track sperms or other microorganisms, our approach is lensfree ( Fig. 1) and therefore exhibits a significantly larger imaging field-of-view of >17 mm 2 together with unit fringe magnification, while still achieving submicron positioning accuracy that is necessary to observe human sperms' tight helical paths.…”

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High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories

Ozcan

2012

Proc. Natl. Acad. Sci. U.S.A.

314

277

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Dynamic tracking of human sperms across a large volume is a challenging task. To provide a high-throughput solution to this important need, here we describe a lensfree on-chip imaging technique that can track the three-dimensional (3D) trajectories of >1,500 individual human sperms within an observation volume of approximately 8-17 mm 3 . This computational imaging platform relies on holographic lensfree shadows of sperms that are simultaneously acquired at two different wavelengths, emanating from two partially-coherent sources that are placed at 45°with respect to each other. This multiangle and multicolor illumination scheme permits us to dynamically track the 3D motion of human sperms across a field-of-view of >17 mm 2 and depth-of-field of approximately 0.5-1 mm with submicron positioning accuracy. The large statistics provided by this lensfree imaging platform revealed that only approximately 4-5% of the motile human sperms swim along well-defined helices and that this percentage can be significantly suppressed under seminal plasma. Furthermore, among these observed helical human sperms, a significant majority (approximately 90%) preferred right-handed helices over left-handed ones, with a helix radius of approximately 0.5-3 μm, a helical rotation speed of approximately 3-20 rotations∕s and a linear speed of approximately 20-100 μm∕s. This high-throughput 3D imaging platform could in general be quite valuable for observing the statistical swimming patterns of various other microorganisms, leading to new insights in their 3D motion and the underlying biophysics.human sperm imaging | sperm tracking | digital holography | micro-swimmer O bserving three-dimensional (3D) trajectories of sperms is in general a challenging task. This is partially due to limited imaging volume of optical microscopes that are based on conventional lenses. For human sperms this becomes even more challenging since the sperm head is small (approximately 3-4 μm) demanding a relatively high-magnification objective lens, and moves rather fast (20-100 μm∕s) which makes it difficult to track their 3D swimming patterns as they quickly move out of the observation volume of an objective lens. Partly due to this low throughput and the limited spatial and temporal sampling windows that conventional microscopes provide, natural 3D swimming patterns of human sperms and their statistics could not be reported so far. Earlier results (1-19) that were obtained using lens-based conventional microscopes either measured the 2D trajectories of the human sperms along a focal plane, or reported on sperms of other species such as sea urchin, which were significantly easier to resolve under a microscope since their 3D rotation diameter is larger (>13 μm) together with a lower rotation frequency compared to human sperms.Here we report a new technique that is based on lensfree holographic imaging on a chip to dynamically track the 3D trajectories of human sperms across a large volume of approximately 8-17 mm 3 ( Fig. 1) with submicron positioning accuracy. Thi...

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 95%

High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories

Ozcan

2012

Proc. Natl. Acad. Sci. U.S.A.

314

277

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“…Chain formation has been proven to enhance motility in G . catenatum and other dinoflagellates . Chain formation is a useful morphological stress indicator in G .…”

Section: Discussionmentioning

confidence: 99%

Resistance to Hydrogen Peroxide Highlights Gymnodinium catenatum (Dinophyceae) Sensitivity to Geomagnetic Activity

Vale

2017

Photochem & Photobiology

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The chain-forming dinoflagellate Gymnodinium catenatum was exposed to hydrogen peroxide. Microscopical examination revealed striking dose-response alterations in chain formation above 245 lM: singlets replaced the dominance of long chain formations. These observations were valid for cells acclimated to halogen light. Under fluorescent light, cells were more resistant to modifications in chain length after H 2 O 2 exposure. Growth along 9 h in the presence of extracellular H 2 O 2 followed an hormesis response in both light regimes. Under halogen light conditions, alterations in chain formation and net growth were related to culture time, inocula concentration and geomagnetic activity (GMA) in the proceeding hours. Below a 16 nT threshold in GMA average growth was 0%, while above 16 nT it was circa +9%, independently if the local static magnetic field was altered by a permanent magnet or not. Mycosporine-like amino acids that can have an antioxidant role and are easily oxidized decreased from 7.1 to 6.5 pg cell À1 (P < 0.05) under halogen light and exposure to 245 lM H 2 O 2 . GMA, as well as UV-A, increased stress responsiveness that can momentarily protect cells from extracellular H 2 O 2 addition. However, stress response is dependent on bio-availability of several micronutrients and macronutrients, many found at limiting concentrations in oceanic waters.

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“…Kamykowski et al 1988, Kamykowski 1995, McKay et al 2006) and 3-dimensional domains (e.g. Fenchel 2001, Lewis et al 2006, Sohn et al 2011. The flagellar apparatus has been studied in detail (e.g.…”

Section: Discussionmentioning

confidence: 99%

Cell density-dependent swimming patterns of Alexandrium fundyense early stationary phase cells

Persson¹,

Smith²

2013

Aquat. Microb. Ecol.

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Different life-history stages of Alexandrium fundyense have different swimming behaviors and show different responses to water movement. Early stationary phase cells assemble in bioconvection patterns along the water surface and as stripes in the water, while cells in exponential growth do not. We studied the swimming behavior of early stationary phase A. fundyense cells, both on the individual level and on the population level. Cells assembled in spots in shallow Petri dishes, and were studied using an inverted microscope. We analyzed 53 videos of cells at different distances from the center of accumulated spots of cells with the program CellTrak for swimming behavior of individual cells. The closer the cells were to the center of spots, the faster they swam (> 600 µm s −1 in the center of spots compared to ca. 300 µm s −1 outside) and the more often they changed direction (>1400 degrees s −1 in the center compared to < 400 degrees s −1 outside). On a population level, the behavior of spots of assembled cells was studied using time-lapse photo graphy. The spots entrained more and more cells as they grew and fused with each other; the closer the spots came to each other, the faster they moved until they fused. We suggest that chemical attraction between gametes causes the observed behavior. KEY WORDS: Alexandrium fundyense · Swimming pattern · Stationary phase · Gamete · Cell density Resale or republication not permitted without written consent of the publisherAquat Microb Ecol 68: [251][252][253][254][255][256][257][258] 2013 amounts that they cause an unstable density stratification that triggers instability in the form of descending plumes of cells (Kessler 1985, 1986, Pedley & Kessler 1992, Bees & Hill 1997, Hopkins & Fauci 2002, Nguyen-Quang et al. 2009). In such a plume, the fluid velocity is higher than the swimming velocity of individual cells -the collective behavior of cells has changed the density distribution in such a way that patterns are formed at a scale greater than individual cells. The underlying cause of the assemblage of cells is a tactic behavior of individual cells, being attracted to light, nutrients, oxygen, etc., or swimming upwards to avoid sinking (gravit axis). When geometry of cells, density distribution within cells, placement of flagella, etc. affects the swimming direction, the term used is gyrotaxis. Gyrotaxis is directional swimming due to a combination of upward swimming and rotational drag due to shear (e.g. Kessler 1985, Durham et al. 2009). Bioconvection patterns concentrate microorganisms into dense regions separated by regions with few organisms, which can facilitate mating (Wager 1911, Kessler 1986, Pedley & Kessler 1992.In many dinoflagellate species, including all that produce resting cysts, gametes are formed at the end of the growth season. Attraction between gametes is necessary, otherwise sexual fusion and production of resting cysts for survival during the winter would be impossible. The 'season cue' for gamete formation may be composed of many diff...

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Determination of the swimming trajectory and speed of chain-forming dinoflagellate Cochlodinium polykrikoides with digital holographic particle tracking velocimetry

Cited by 44 publications

References 30 publications

High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories

High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories

Resistance to Hydrogen Peroxide Highlights Gymnodinium catenatum (Dinophyceae) Sensitivity to Geomagnetic Activity

Cell density-dependent swimming patterns of Alexandrium fundyense early stationary phase cells

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