Author: Kazunori Hoshino

Dr. Kazunori Hoshino Awarded an NSF Grant for a New 3D Imaging Method

Professor Kazunori Hoshino (PI) received a new NSF grant (NSF #2621762) with a total of $550,000 for three years, beginning September 1, 2026. The project is entitled “Panoramic Wavefield Recovery via Conformal Aperture Synthesis Sensor Arrays.” He will work with Professor Guoan Zheng (Co-PI) of UConn Biomedical Engineering to develop a new lensless 3D imaging method using curved sensor arrays. The technology aims to provide high-resolution, wide-field imaging of curved and three-dimensional objects, with potential applications in advanced manufacturing and biomedical imaging.

https://www.nsf.gov/awardsearch/show-award?AWD_ID=2621762

 

We have made a YouTube channel

We have created a YouTube channel to introduce our studies.

The link to the channel: https://www.youtube.com/@HoshinoLabUConn

The first video introduces our novel light-sheet microscopy method that integrates single-cell optical viscoelastography and fluorescence cytometry of 3D live tissues:

Our recent paper on this study was selected as an Editor’s Choice article in Advanced Materials Technologies.

Yuji Tomizawa, Khadija H. Wali, Manav Surti, Yasir Suhail, Kshitiz, and Kazunori Hoshino, “Single-cell quantification of viscoelastic phase transitions in 3D tissues,” Advanced Materials Technologies, 2025, 2401302, DOI: 10.1002/admt.202401302. read only articlearcitle page

 

 

Lab on a Chip Cover Art

The cover art for our paper was selected as the inside front cover for the latest issue (Volume 25, Number 2) of Lab on a Chip.

Paper information:

Mitchell Modarelli, Devin Kot-Thompson, and Kazunori Hoshino. “5-axis CNC micro-milling machine for three-dimensional microfluidics.” Lab on a Chip, 2025, 25, 127 – 142. (DOI: 10.1039/D4LC00496E) link

We won the Outstanding Student Poster Award at MEMS 2024!

Our presentation at the 37th International Conference on Micro Electro Mechanical Systems (IEEE MEMS 2024,  21-25 January 2024, Austin, Texas) won the Outstanding Student Poster Award. The IEEE MEMS conference is one of the premier annual events in the MEMS field.

Venkat Kidambi was among the 4 awardees selected out of 659 submitted abstracts. Congratulations, Venkat!

https://www.mems24.org/home/award_winners.html

Awarded paper:

Venkatanathan Kidambi, Yuji Tomizawa, Manav Surti, Mitchell Modarelli, Kazunori Hoshino, “Single-Cellular Dynamic Mechanical Analysis of Live 3d Organoids Under Light-Sheet Fluorescence Microscopy,” Proceedings of the 13th IEEE International Conference on Micro Electro Mechanical Systems, pp. 330-333, Austin, Texas, 2024.1.21-25.

Dr. Kazunori Hoshino Awarded an NSF Grant

Professor Kazunori Hoshino (PI) received a new NSF grant (NSF #2223957) with a total of $790,267.00 for three years (Start Date: Oct 1, 2022). The project is entitled “A light-sheet microscopy (LSM)-based, spatially-resolved 3D dynamic mechanical analysis (DMA) instrument for developmental biology and physiology.” He will work with Professor Jianjun Sun (Co-PI) of Physiology and Neurobiology to create a new microscope system and study the growth and the development of live tissues and organs of Drosophila, zebrafish, and mouse.

Dr. Kazunori Hoshino received NSF CAREER Award

Dr. Kazunori Hoshino received an NSF CAREER award (NSF #1942518) for his project titled “CAREER: Biomechanical Signatures in Vertebrate Embryonic Development.” The project aims to investigate a novel biomechanical method to quantitatively assess the status of tissue differentiation and organ formation in key developmental stages of vertebrate embryos. The project starts from July 1, 2020, and the total amount of the award is $500,000 for five years.

UConn Faculty Members Win Prestigious Research Awards

Molecular Sensors and Nanodevices 2nd Edition published from Elsevier

Dr. Kazunori Hoshino published a new book “Molecular Sensors and Nanodevices, 2nd Edition” from Elsevier (Published Date: 23rd November 2018).

The book is designed to be used as a foundational text, aimed at graduates, advanced undergraduates, early-career engineers and clinicians.

https://www.elsevier.com/books/molecular-sensors-and-nanodevices/zhang/978-0-12-814862-4