diff --git a/_pages/projects.md b/_pages/projects.md index 5ba19da..78a8bfb 100644 --- a/_pages/projects.md +++ b/_pages/projects.md @@ -5,7 +5,7 @@ permalink: /projects/ description: nav: true nav_order: 1 -display_categories: [research project, artistic project] +display_categories: [computational microscopy, computational cmaeras, artistic project] horizontal: false --- diff --git a/_projects/10_project.md b/_projects/10_project.md index d876be9..3995cb9 100644 --- a/_projects/10_project.md +++ b/_projects/10_project.md @@ -4,7 +4,7 @@ title: Computational 3D polarization microscopy description: img: assets/img/tofu.png importance: 2 -category: research project +category: computational microscopy --- We report tensorial tomographic Fourier ptychography, a nonscanning label-free tomographic microscopy method for simultaneous imaging of quantitative phase and anisotropic specimen information in 3D. Built upon Fourier ptychography, a quantitative phase imaging technique, T2oFuT2oFu additionally highlights the vectorial nature of light. The imaging setup consists of a standard microscope equipped with an LED matrix, a polarization generator, and a polarization-sensitive camera. Permittivity tensors of anisotropic samples are computationally recovered from polarized intensity measurements across three dimensions. We demonstrate our system's efficiency through volumetric reconstructions of refractive index, birefringence, and orientation for various validation samples, as well as tissue samples from muscle fibers and diseased heart tissue. Our reconstructions of healthy muscle fibers reveal their 3D fine-filament structures with consistent orientations. Additionally, we demonstrate reconstructions of a heart tissue sample that carries important polarization information for detecting cardiac amyloidosis. diff --git a/_projects/1_project.md b/_projects/1_project.md index ffd195b..6deb279 100644 --- a/_projects/1_project.md +++ b/_projects/1_project.md @@ -4,7 +4,7 @@ title: Portable microscope on a smartphone description: img: assets/img/smartphoneFP.jpg importance: 1 -category: research project +category: computational microscopy --- **Portable Microscope Using Smartphone** diff --git a/_projects/2_project.md b/_projects/2_project.md index 16bea97..b20d2b2 100644 --- a/_projects/2_project.md +++ b/_projects/2_project.md @@ -4,7 +4,7 @@ title: Phase Mask Design for Lensless Camera description: img: assets/img/PM.jpg importance: 2 -category: research project +category: computational cameras --- Advances in image sensor technology and miniaturized optics have enabled the development of ultra-compact and high-quality cameras for everyday use. However, while the pixel resolution of cameras continues to increase, there are physical limits to reducing the size and cost of the entire camera module. As an alternative approach, various lensless imaging methods, which replace the lenses with thin light-modulating masks, have been recently developed. In lensless cameras, the entire module can be miniaturized by reducing the thickness of the lens elements as well as the focusing distance of the lenses. The masks modulate the incident light from the scene, and the image sensors capture the intensity distribution of the modulated light field. With the knowledge of the mask’s transfer function, the encoded intensity information of the scene can be recovered through computational processing of the raw measurement that is otherwise unidentifiable. diff --git a/_projects/4_project.md b/_projects/4_project.md index 1b69abd..82b7f62 100644 --- a/_projects/4_project.md +++ b/_projects/4_project.md @@ -4,7 +4,7 @@ title: Virtual Staining for Digital Pathology description: img: assets/img/tissue.jpg importance: 2 -category: research project +category: computational microscopy --- To be updated \ No newline at end of file diff --git a/_projects/5_project.md b/_projects/5_project.md index 5b6ef93..b4eb34b 100644 --- a/_projects/5_project.md +++ b/_projects/5_project.md @@ -4,11 +4,11 @@ title: Compuational gigapixel microscopy with multi-camera array microscope description: img: assets/img/mcam.jpg importance: 2 -category: research project +category: computational microscopy --- -To be updated -Reference + +**Reference** * [Website](https://mcam.deepimaging.io/) at Roarke Horstmeyer's Lab in Duke University \ No newline at end of file diff --git a/_projects/6_project.md b/_projects/6_project.md index 6db9712..26e6044 100644 --- a/_projects/6_project.md +++ b/_projects/6_project.md @@ -4,8 +4,8 @@ title: Phase Retrieval With Convex Optimization description: img: assets/img/smear.jpg importance: 2 -category: research project +category: computational microscopy --- -To be updated +Fourier ptychography (FP) is a powerful computational imaging technique that provides both super-resolution and quantitative phase imaging capabilities by scanning samples in Fourier space with angle-varying illuminations. However, the image reconstruction in FP is inherently ill-posed, particularly when the measurements are noisy and have insufficient data redundancy in the Fourier space. To improve FP reconstruction in high-throughput imaging scenarios, we propose a regularized FP reconstruction algorithm utilizing anisotropic total variation (TV) and Tikhonov regularizations for the object and the pupil functions, respectively. To solve this regularized FP problem, we formulate a reconstruction algorithm using alternating direction method of multipliers and show that our approach successfully recovers high-quality images with sparsely sampled and/or noisy measurements. The results are quantitatively and qualitatively compared against various FP reconstruction algorithms to analyze the effect of regularization under harsh imaging conditions. In particular, we demonstrate the effectiveness of our method on the real experimental FP microscopy images, where the TV regularizer effectively suppresses the measurement noise while maintaining the edge information in the biological specimen and helps retrieve the correct amplitude and phase images even under insufficient sampling. diff --git a/_projects/7_project.md b/_projects/7_project.md index cd5a45c..21dc4a9 100644 --- a/_projects/7_project.md +++ b/_projects/7_project.md @@ -4,11 +4,9 @@ title: Single-Shot Temporal Speckle Correlation Imaging description: img: assets/img/RSSI.jpg importance: 2 -category: research project +category: computational microscopy --- -**Abstract** - We propose a single-shot wide-field imaging method that maps local temporal intensity decorrelations of dynamic speckle fields. Our method, named rolling shutter speckle imaging (RSSI), utilizes short time intervals between each row of a rolling shutter complementary metal–oxide–semiconductor (RS-CMOS) image sensor to discern fast temporal changes in the speckle field, which otherwise requires sequential measurements with high-speed cameras. RSSI generates elongated speckle patterns on an RS-CMOS image sensor and quantifies temporal decorrelations of speckle fields from row-by-row intensity correlations (RICs) within a single image. To quantify the local speckle decorrelation times of dynamic scattering media, we derived a theoretical model for RIC and verified the model using numerical simulations and flow-phantom experiments. Further, our *in vivo* imaging results show that RSSI can map the flow rate distributions in cerebral blood vessels with the correction of static scattering in the tissue, demonstrating that RSSI is a powerful and cost-effective imaging tool for *in vivo* quantitative blood flow measurements. * **Reference** diff --git a/_projects/8_project.md b/_projects/8_project.md index 8ba3bca..0d63c76 100644 --- a/_projects/8_project.md +++ b/_projects/8_project.md @@ -4,7 +4,7 @@ title: Snapshot Hyperspectral Imaging description: img: assets/img/HSI.png importance: 2 -category: research project +category: computational cameras --- We present a lensless snapshot hyperspectral camera that is capable of hyperspectral imaging over a broad spectrum using a compact and low-cost hardware configuration. We leverage the multiplexing capability of a lensless camera, a novel type of computational imaging device that replaces the lens with a thin mask. Our device utilizes a linear variable filter and a phase mask to encode spectral information onto a monochromatic image sensor, enabling recovery of hyperspectral image stacks from a single measurement by utilizing spectral information encoded in different parts of the 2D point spread function. We perform spectral calibration using a reference color chart and verify the prototype device’s spectral and spatial resolution, as well as its imaging field of view. We report on the design and construction of the device, the image reconstruction algorithm, and spectral calibration methods and present hyperspectral images ranging from 410 to 800 nm obtained with our prototype device. diff --git a/_projects/9_project.md b/_projects/9_project.md index 7acf6cb..f1ceb2a 100644 --- a/_projects/9_project.md +++ b/_projects/9_project.md @@ -4,7 +4,7 @@ title: High-Speed Lensless Eye Tracker description: img: assets/img/eyetracker.jpg importance: 2 -category: research project +category: computational cameras --- We report on the design and construction of a goggle-type eye tracker using a low-cost and high-speed lensless camera for monitoring eye movements in neurodegenerative diseases. A Rolling Shutter image sensor combined with lensless computational imaging allows for the reconstruction of a time sequence of images from a single snapshot, effectively improving the framerate of the camera. We constructed and demonstrated the prototype device using a commercial-grade CMOS image sensor and achieved the improvement of framerate from 15 to 480Hz, with the tracking results for 28 clinical measured data. Our device can potentially measure microsaccadic eye movements in a wearable camera format, allowing routine monitoring of abnormal eye movements for the early diagnosis and tracking of Alzheimer’s and Parkinson’s disease. diff --git a/assets/img/HSI.png b/assets/img/HSI.png index 6d46a6e..ecb0525 100644 Binary files a/assets/img/HSI.png and b/assets/img/HSI.png differ diff --git a/assets/img/eyetracker.jpg b/assets/img/eyetracker.jpg index 95df671..a5a2011 100644 Binary files a/assets/img/eyetracker.jpg and b/assets/img/eyetracker.jpg differ