Vipul Singhal

Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering

Jieran Sun, Kirti Biharie, Peiying Cai, Niklas Müller‐Bötticher et autres

Spatial omics technologies have revolutionized the study of tissue architecture and cellular heterogeneity by integrating molecular profiles with spatial localization. In spatially resolved transcriptomics, delineating higher-order anatomical structures is critical for understanding how cellular organization affects tissue and organ function. Since 2020, …

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Spatial architecture of autism pathogenesis reveals mosaic structural disarray during early development

Li Li, Tzuen Yih Saw, Nigel Chou, Jie Lin Jolene Goh et autres

Autism spectrum disorder (ASD) has been associated with diverse genetic factors and molecular changes. Yet, how pathophysiology emerges during development and contributes to clinical heterogeneity remains unclear. Here we use spatial and single-cell transcriptomics of genetically diverse patient-derived organoids of the prenatal …

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Design of high-speed all-optical data security system based on XGM in SOA for optical networks

Vipul Singhal, Surinder Singh

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Optogenetics-enabled discovery of integrated stress response modulators

Felix Wong, Alicia Li, Satotaka Omori, Ryan S. Lach et autres

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Orthogonal polarization–based high-speed optical NOT, XOR, XNOR, and NOR logic designs based on cross-gain modulation in semiconductor optical amplifier

Vipul Singhal, Surinder Singh

We propose all-optical NOT, XOR, XNOR, and NOR logic designs for NRZ-formatted signal at 340 Gbps. For the optical NOT gate, it is proposed to utilize two orthogonally polarized laser sources at the same frequency to induce cross-gain modulation (XGM) in a …

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Design of 250 Gbps All-Optical Encryption and Decryption Circuit

Vipul Singhal, Surinder Singh, Vishal Sharma

This paper presents an all-optical encryption-decryption circuit at a bit rate of 250 Gbps. The input signal is ciphered at the encryption side by utilizing an orthogonally polarized secure key. Cross-gain modulation is exploited inside the semiconductor optical amplifiers to cipher the …

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BANKSY: scalable cell typing and domain segmentation for spatial omics

Vipul Singhal, Nigel Chou

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BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis

Vipul Singhal, Nigel Chou, Joseph Lee, Yifei Yue et autres

Spatial omics data are clustered to define both cell types and tissue domains. We present Building Aggregates with a Neighborhood Kernel and Spatial Yardstick (BANKSY), an algorithm that unifies these two spatial clustering problems by embedding cells in a product space of …

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Classification and Segmentation of MRI Brain Images using Support Vector Machine and Fuzzy C-means Clustering

Sampurnanand Dwivedi, Vipul Singhal

An early diagnosis of brain disorders is very important for timely treatment of such diseases.Several imaging modalities are used to capture the anomalities by obtaining either the physiological or morphological information. The scans obtained using imaging modalities such as magnetic resonance imaging …

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BANKSY: A Spatial Omics Algorithm that Unifies Cell Type Clustering and Tissue Domain Segmentation

Vipul Singhal, Nigel Chou, Joseph Lee, Jinyue Liu et autres

Abstract Each cell type in a solid tissue has a characteristic transcriptome and spatial arrangement, both of which are observable using modern spatial omics assays. However, the common practice is still to ignore spatial information when clustering cells to identify cell types. …

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DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data

Bobby Ranjan, Wenjie Sun, Jinyu Park, Kunal Mishra et autres

Feature selection (marker gene selection) is widely believed to improve clustering accuracy, and is thus a key component of single cell clustering pipelines. Existing feature selection methods perform inconsistently across datasets, occasionally even resulting in poorer clustering accuracy than without feature selection. …

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150nA IQ, Quad Input - Quad Output, Intelligent Integrated Power Management for IoT Applications

Vipul Singhal, Rajat Chauhan, Vinod Menezes, RR Manikandan et autres

Power management systems for wireless sensor nodes in industrial IoT applications need to operate seamlessly from multiple energy sources and efficiently manage power delivery to multiple load circuits. This paper presents a single chip integrated power management solution with an autonomous 4:1 …

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