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Prince, M. N. H.

Publications and source records attributed to Prince, M. N. H..

2 recordsLinked to original sources

Reflected Inline Detection in Epi Oblique Plane Microscopy

Epi oblique illumination selective plane microscopy (OPM) facilitates open-top, straightforward sample mounting, enabling high-resolution and high-speed imaging without perturbing biological specimens. However, current OPM systems typically require three separate microscopes equipped with specialized objectives. This configuration leads to complex and costly setups, significant long-term drift during imaging, reduced numerical aperture, and limited flexibility in adjusting the illumination tilt angle. We introduce Reflected Inline Detection in Epi-Oblique Plane Microscopy (RIDE-OPM), a novel, simplified, and cost-effective design that removes the necessity for a separate inline tertiary microscope and specialized objectives. Our tilt-angle-independent approach leverages the maximum NA of standard objectives, ensuring optimal illumination across the entire field of view without compromising imaging speed or quality, while significantly reducing long-term system drift. The compact and stable RIDE-OPM platform demonstrates robust, unsupervised long-term imaging capabilities. We validated this performance by successfully imaging various biological specimens, including C. elegans, Drosophila fly brain, human and mouse epithelial cells, and live E. coli, underscoring its suitability for advanced long-term biological imaging applications.

biophysics↗

Signal Improved ultra-Fast Light-sheet Microscope (SIFT) for large tissue imaging

Light-sheet fluorescence microscopy (LSFM) in conjunction with tissue clearing techniques enables morphological investigation of large tissues faster and with excellent optical sectioning. Recently, cleared tissue axially swept light-sheet microscope (ctASLM) demonstrated three-dimensional isotropic resolution in millimeter-scaled tissues. But ASLM based microscopes suffer from low detection signal and slow imaging speed. Here we report a simple and efficient imaging platform that employs precise control of two fixed distant light-sheet foci to carry out ASLM. This allowed us to carry out full field of view (FOV) imaging at 40 frames per second (fps) which is a four-fold improvement compared to the current state-of-the-art. In addition, in a particular frame rate, our method doubles the signal compared to the current ASLM technique. To augment the overall imaging performance, we also developed a deep learning based tissue information classifier that enables faster determination of tissue boundary. We demonstrated the performance of our imaging platform on various cleared tissue samples and demonstrated its robustness over a wide range of clearing protocols.

biophysics↗