activity
20182024
most citedSelf-formed 2D/3D Heterostructure on the Edge of 2D Ruddlesden-Popper Hybrid Perovskites Responsible for Intriguing Optoelectronic Properties and Higher Cell Efficiency

74 citations · 158 across the 10 of their papers we have counts for

collaborators

11 papers

physics.optics2024

sCWatter: Open source coupled wave scattering simulation for spectroscopy and microscopy

Ruijiao Sun, Rohith Reddy, David Mayerich

Several emerging microscopy imaging methods rely on complex interactions between the incident light and the sample. These include interferometry, spectroscopy, and nonlinear optics…

eess.IV2024

GPU-Accelerated RSF Level Set Evolution for Large-Scale Microvascular Segmentation

Meher Niger, Helya Goharbavang, Taeyong Ahn +4

Microvascular networks are challenging to model because these structures are currently near the diffraction limit for most advanced three-dimensional imaging modalities, including…

cs.CV2024

Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping

Reza Reihanisaransari, Chalapathi Charan Gajjela, Xinyu Wu +8

Ovarian cancer detection has traditionally relied on a multi-step process that includes biopsy, tissue staining, and morphological analysis by experienced pathologists. While widel…

q-bio.TO2022★ 29 cited

Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer

Chalapathi Charan Gajjela, Matthew Brun, Rupali Mankar +8

Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being leveraged for digital histopathology. Modern histopathologic identification of ovaria…

eess.IV2020

Adaptive Compressive Sampling for Mid-infrared Spectroscopic Imaging

Mahsa Lotfollahi, Nguyen Tran, Sebastian Berisha +4

Minfrared spectroscopic imaging (MIRSI) is an emerging class of label-free, biochemically quantitative technologies targeting digital histopathology. Conventional histopathology re…

cs.CV2020★ 4 cited

Hyperspectral-Multispectral Image Fusion with Weighted LASSO

Nguyen Tran, Rupali Mankar, David Mayerich +1

Spectral imaging enables spatially-resolved identification of materials in remote sensing, biomedicine, and astronomy. However, acquisition times require balancing spectral and spa…