研究目的
To develop a fast algorithm for Triple-Correlation analyses of high-content multiplexed super-resolution data to enable high-throughput quantification of molecular complexes in densely distributed images.
研究成果
The dTC algorithm provides a fast and robust method for Triple-Correlation analysis of high-content multiplexed SMLM images, enabling high-throughput quantification of molecular assemblies in dense cellular environments. It achieves significant computational speed enhancements and offers new insights into spatial organizations, with potential applications in biological studies of dense molecular architectures.
研究不足
The theoretical accuracy of the Triple-Correlation function and other image analyses methods is limited by the accuracy of the original SMLM data. Computational efficiency may decrease with higher molecular densities, and the method relies on precise alignment and labeling techniques.
1:Experimental Design and Method Selection:
The study involved developing a direct coordinate-based Triple-Correlation algorithm (dTC) to analyze multiplexed super-resolution images. The algorithm was designed to compute the probability density of geometric configurations from single-molecule localizations in three channels, avoiding the computational cost of 4D Fourier Transforms.
2:Sample Selection and Data Sources:
Simulations were performed with designed triangular configurations on a canvas, and experimental data were obtained from U2OS cells labeled with specific proteins (e.g., EdU, PCNA, MCM, RPA) using immunofluorescence and SMLM techniques.
3:List of Experimental Equipment and Materials:
Equipment included a customized Leica DMI 300 inverse microscope, various lasers (e.g., 750 nm, 639 nm, 561 nm, 488 nm), a Zeiss HCX PL APO 63X NA = 1.47 OIL CORR TIRF Objective, a Photometrics Prime95B sCMOS camera, and antibodies (e.g., Alexa Fluor conjugates). Materials included U2OS cells, DMEM, FBS, Penicillin-Streptomycin, Hydroxyurea, EdU, Aphidicolin, Triton, paraformaldehyde, and imaging buffer components.
4:47 OIL CORR TIRF Objective, a Photometrics Prime95B sCMOS camera, and antibodies (e.g., Alexa Fluor conjugates). Materials included U2OS cells, DMEM, FBS, Penicillin-Streptomycin, Hydroxyurea, EdU, Aphidicolin, Triton, paraformaldehyde, and imaging buffer components. Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Cells were prepared, labeled, and imaged using SMLM. Images were aligned using a polynomial mapping algorithm. Single-molecule localization was performed using Maximum Likelihood Estimation (MLE) on GPU. The dTC algorithm was applied to compute Triple-Correlation profiles and identify significant geometric configurations.
5:Data Analysis Methods:
Data were analyzed using the dTC algorithm to compute Triple-Correlation functions, identify local maxima, and quantify molecular densities. Statistical analyses included unpaired t-tests for comparisons.
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Leica DMI 300 inverse microscope
DMI 300
Leica
Used for single-molecule localization imaging in super-resolution microscopy.
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HCX PL APO 63X NA = 1.47 OIL CORR TIRF Objective
HCX PL APO 63X
Zeiss
Objective lens for high-resolution imaging in TIRF microscopy.
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Nvidia GTX 1060 GPU
GTX 1060
Nvidia
Used for GPU acceleration in single-molecule localization computations.
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Alexa Fluor 750-conjugated anti-Rabbit antibody
A-21039
ThermoFisher
Antibody for immunostaining RPA in fluorescence microscopy.
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488 nm laser
OBIS
Coherent
Laser source for excitation in super-resolution microscopy.
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405 nm laser
MDL-III-405-150
CNI
Laser for reactivating fluorophores in super-resolution microscopy.
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Prime95B sCMOS camera
Prime95B
Photometrics
sCMOS camera for capturing fluorescence images in super-resolution microscopy.
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Alexa Fluor 647 picolyl azide
ThermoFisher
Fluorophore for labeling EdU in click chemistry reactions.
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Alexa 488 conjugated anti-PCNA antibody
ab201672
Abcam
Antibody for immunostaining PCNA in fluorescence microscopy.
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Alexa 568 conjugated anti-MCM antibody
ab211916
Abcam
Antibody for immunostaining MCM in fluorescence microscopy.
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750 nm laser
MDL-III-750-500
UltraLaser
Laser source for excitation in super-resolution microscopy.
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639 nm laser
MRL-FN-639-800
UltraLaser
Laser source for excitation in super-resolution microscopy.
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561 nm laser
MGL-FN-561-200
UltraLaser
Laser source for excitation in super-resolution microscopy.
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TetraSpec fluorescent beads
ThermoFisher
Used for alignment of images from different colors in microscopy.
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