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( A ) Schematic of illustrating the cooling-induced ice eruptive fracture on solid substrate. ( B <t>)</t> <t>High-speed</t> camera snapshots of the ice ejection on hydrophilic silicon wafer substrate when cooled to −122°C. ( C ) High-speed camera snapshots of the eruptive fracture of the ice and the substrate disintegration at −133°C. ( D ) The ice bound to the light-weight substrate leapt. ( E ) Evolution of calculated mechanical energy with fracture temperature for varying formation temperature of ice. Inset images display bound leap and motionless fractures at different temperatures, corresponding to ice with different formation temperature, respectively. The critical temperature T c = −93° ± 3°C is highlighted. Time τ = 0 ms in (B) to (D) denotes the onset of crack formation. The cooling rate is set as −0.5°C s −1 . Freezing water volume: 20 μl. Scale bars, 5 mm [(B) to (E)].
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Experimental setup and eye openness estimation approach. ( A ) Recording setup: Synchronized data collection using the EyeLink 1000 Plus eye tracker for pupil-based measurements and a <t>Basler</t> <t>high-speed</t> camera (mounted on a mini tripod) for eyelid tracking. Both systems recorded simultaneously to enable comparison of blink detection methods. ( B ) Landmark detection: Example eye frame with 12 eyelid landmarks – five per eyelid and one at each canthus (inner and outer eye corners). Eye openness is the Euclidean distance between the central upper and lower eyelid landmarks (points 3 and 8; connected by the blue line), converted to millimeters via offline calibration
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Experimental setup and eye openness estimation approach. ( A ) Recording setup: Synchronized data collection using the EyeLink 1000 Plus eye tracker for pupil-based measurements and a <t>Basler</t> <t>high-speed</t> camera (mounted on a mini tripod) for eyelid tracking. Both systems recorded simultaneously to enable comparison of blink detection methods. ( B ) Landmark detection: Example eye frame with 12 eyelid landmarks – five per eyelid and one at each canthus (inner and outer eye corners). Eye openness is the Euclidean distance between the central upper and lower eyelid landmarks (points 3 and 8; connected by the blue line), converted to millimeters via offline calibration
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Basler high speed video cameras
Experimental setup and eye openness estimation approach. ( A ) Recording setup: Synchronized data collection using the EyeLink 1000 Plus eye tracker for pupil-based measurements and a <t>Basler</t> <t>high-speed</t> camera (mounted on a mini tripod) for eyelid tracking. Both systems recorded simultaneously to enable comparison of blink detection methods. ( B ) Landmark detection: Example eye frame with 12 eyelid landmarks – five per eyelid and one at each canthus (inner and outer eye corners). Eye openness is the Euclidean distance between the central upper and lower eyelid landmarks (points 3 and 8; connected by the blue line), converted to millimeters via offline calibration
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Basler high speed cmos camera
Experimental setup and eye openness estimation approach. ( A ) Recording setup: Synchronized data collection using the EyeLink 1000 Plus eye tracker for pupil-based measurements and a <t>Basler</t> <t>high-speed</t> camera (mounted on a mini tripod) for eyelid tracking. Both systems recorded simultaneously to enable comparison of blink detection methods. ( B ) Landmark detection: Example eye frame with 12 eyelid landmarks – five per eyelid and one at each canthus (inner and outer eye corners). Eye openness is the Euclidean distance between the central upper and lower eyelid landmarks (points 3 and 8; connected by the blue line), converted to millimeters via offline calibration
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Basler high speed camera
Experimental setup and eye openness estimation approach. ( A ) Recording setup: Synchronized data collection using the EyeLink 1000 Plus eye tracker for pupil-based measurements and a <t>Basler</t> <t>high-speed</t> camera (mounted on a mini tripod) for eyelid tracking. Both systems recorded simultaneously to enable comparison of blink detection methods. ( B ) Landmark detection: Example eye frame with 12 eyelid landmarks – five per eyelid and one at each canthus (inner and outer eye corners). Eye openness is the Euclidean distance between the central upper and lower eyelid landmarks (points 3 and 8; connected by the blue line), converted to millimeters via offline calibration
High Speed Camera, supplied by Basler, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Excelitas corp high speed camera
a , Scalability of SALM across optical and ultrasound modalities. b , Conventional localization microscopy mechanism <t>requires</t> <t>high-speed</t> acquisition to freeze motion for accurate tracking. c , SALM leverages motion-blurred streaks as signal carriers, eliminating the need for explicit localization and tracking via LTf-Net. d , Three illumination modes for optical-SALM embed vectorial flow information (velocity and direction) into each streak. e , Spatiotemporal graph-based simulation engine generates realistic paired datasets for network training.
High Speed Camera, supplied by Excelitas corp, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


( A ) Schematic of illustrating the cooling-induced ice eruptive fracture on solid substrate. ( B ) High-speed camera snapshots of the ice ejection on hydrophilic silicon wafer substrate when cooled to −122°C. ( C ) High-speed camera snapshots of the eruptive fracture of the ice and the substrate disintegration at −133°C. ( D ) The ice bound to the light-weight substrate leapt. ( E ) Evolution of calculated mechanical energy with fracture temperature for varying formation temperature of ice. Inset images display bound leap and motionless fractures at different temperatures, corresponding to ice with different formation temperature, respectively. The critical temperature T c = −93° ± 3°C is highlighted. Time τ = 0 ms in (B) to (D) denotes the onset of crack formation. The cooling rate is set as −0.5°C s −1 . Freezing water volume: 20 μl. Scale bars, 5 mm [(B) to (E)].

Journal: Science Advances

Article Title: Abrupt eruptive instability of ice adhered to solid surfaces

doi: 10.1126/sciadv.adz8663

Figure Lengend Snippet: ( A ) Schematic of illustrating the cooling-induced ice eruptive fracture on solid substrate. ( B ) High-speed camera snapshots of the ice ejection on hydrophilic silicon wafer substrate when cooled to −122°C. ( C ) High-speed camera snapshots of the eruptive fracture of the ice and the substrate disintegration at −133°C. ( D ) The ice bound to the light-weight substrate leapt. ( E ) Evolution of calculated mechanical energy with fracture temperature for varying formation temperature of ice. Inset images display bound leap and motionless fractures at different temperatures, corresponding to ice with different formation temperature, respectively. The critical temperature T c = −93° ± 3°C is highlighted. Time τ = 0 ms in (B) to (D) denotes the onset of crack formation. The cooling rate is set as −0.5°C s −1 . Freezing water volume: 20 μl. Scale bars, 5 mm [(B) to (E)].

Article Snippet: The fracture dynamics of the ice plate was observed with a polarized microscope (LVDIA-N, Nikon) in conjunction with a high-speed camera (Phantom v7.3) and a digital camera (DS-Ri2, Nikon).

Techniques:

( A ) Material distribution according to their TECs and Young’s modulus values . Adapted with permission from , copyright 2011, Elsevier. The color dots show the occurrence of ice eruptive fracture on the corresponding materials. Insets: High-speed camera snapshots of bound leap of ice with aluminum alloy, sapphire, and quartz substrate. ( B ) Design of the automatic detachment of ice using substrate deformation upon temperature variation. ( C ) Spontaneous detachment of an ice block (volume: 100 ml) from a bimetallic strip upon cooling to −53°C. Scale bars, 1 cm (A) and 5 cm (C).

Journal: Science Advances

Article Title: Abrupt eruptive instability of ice adhered to solid surfaces

doi: 10.1126/sciadv.adz8663

Figure Lengend Snippet: ( A ) Material distribution according to their TECs and Young’s modulus values . Adapted with permission from , copyright 2011, Elsevier. The color dots show the occurrence of ice eruptive fracture on the corresponding materials. Insets: High-speed camera snapshots of bound leap of ice with aluminum alloy, sapphire, and quartz substrate. ( B ) Design of the automatic detachment of ice using substrate deformation upon temperature variation. ( C ) Spontaneous detachment of an ice block (volume: 100 ml) from a bimetallic strip upon cooling to −53°C. Scale bars, 1 cm (A) and 5 cm (C).

Article Snippet: The fracture dynamics of the ice plate was observed with a polarized microscope (LVDIA-N, Nikon) in conjunction with a high-speed camera (Phantom v7.3) and a digital camera (DS-Ri2, Nikon).

Techniques: Blocking Assay, Stripping Membranes

Experimental setup and eye openness estimation approach. ( A ) Recording setup: Synchronized data collection using the EyeLink 1000 Plus eye tracker for pupil-based measurements and a Basler high-speed camera (mounted on a mini tripod) for eyelid tracking. Both systems recorded simultaneously to enable comparison of blink detection methods. ( B ) Landmark detection: Example eye frame with 12 eyelid landmarks – five per eyelid and one at each canthus (inner and outer eye corners). Eye openness is the Euclidean distance between the central upper and lower eyelid landmarks (points 3 and 8; connected by the blue line), converted to millimeters via offline calibration

Journal: Behavior Research Methods

Article Title: Blink parameters are confounded by vertical eye orientation in video-based eye tracking: Comparing pupil- and eyelid-based methods

doi: 10.3758/s13428-026-02984-4

Figure Lengend Snippet: Experimental setup and eye openness estimation approach. ( A ) Recording setup: Synchronized data collection using the EyeLink 1000 Plus eye tracker for pupil-based measurements and a Basler high-speed camera (mounted on a mini tripod) for eyelid tracking. Both systems recorded simultaneously to enable comparison of blink detection methods. ( B ) Landmark detection: Example eye frame with 12 eyelid landmarks – five per eyelid and one at each canthus (inner and outer eye corners). Eye openness is the Euclidean distance between the central upper and lower eyelid landmarks (points 3 and 8; connected by the blue line), converted to millimeters via offline calibration

Article Snippet: Recordings were obtained with a Basler monochrome high-speed camera (daA1920-160um; 16-mm lens; IR pass filter) at 500 Hz with \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1088\times 320$$\end{document} 1088 × 320 px resolution.

Techniques: Comparison

a , Scalability of SALM across optical and ultrasound modalities. b , Conventional localization microscopy mechanism requires high-speed acquisition to freeze motion for accurate tracking. c , SALM leverages motion-blurred streaks as signal carriers, eliminating the need for explicit localization and tracking via LTf-Net. d , Three illumination modes for optical-SALM embed vectorial flow information (velocity and direction) into each streak. e , Spatiotemporal graph-based simulation engine generates realistic paired datasets for network training.

Journal: bioRxiv

Article Title: Streak-Aware Localization Microscopy Enables High-Throughput Brain Imaging Across Platforms

doi: 10.64898/2026.03.04.709480

Figure Lengend Snippet: a , Scalability of SALM across optical and ultrasound modalities. b , Conventional localization microscopy mechanism requires high-speed acquisition to freeze motion for accurate tracking. c , SALM leverages motion-blurred streaks as signal carriers, eliminating the need for explicit localization and tracking via LTf-Net. d , Three illumination modes for optical-SALM embed vectorial flow information (velocity and direction) into each streak. e , Spatiotemporal graph-based simulation engine generates realistic paired datasets for network training.

Article Snippet: Optical system validation was performed using data acquired from a high-speed camera (pco.dimax S1, PCO AG, Germany).

Techniques: Microscopy