Imaging

Forensic scientists have made significant strides in bloodstain identification, leveraging advanced hyperspectral imaging and machine learning to distinguish between human and animal bloodstains with remarkable accuracy.

Hokkaido University scientists are investigating a more sustainable approach for detecting arsenic in minerals.

Webinar Date/Time: Wednesday, June 26th, 2024 at 8am PDT | 11am EDT | 4pm BST | 5pm CEST

Korean scientists recently tested a new light detection and ranging (LiDAR)-based system for improving autonomous recognition systems.

Here, we dive into hyperspectral imaging (HSI) and highlight a few recent studies using HSI in various applications.

Here are the top five articles that the editors of Spectroscopy published this week.

Scientists from Nanjing Forestry University recently used a portable hyperspectral imager to help detect maturity stages in Camellia oleifera fruits.

Webinar Date/Time: Thu, May 23, 2024 1:00 PM EDT

Rigaku Analytical Devices has been awarded a third year of funding for a TSA contract dedicated to creating better-optimized screening equipment.

A PhD student in the Department of Bioengineering at the University of Pennsylvania has won the 2024 Physics of Medical Imaging Student Paper Award, which is given out annually by the International Society for Optics and Photonics (SPIE), at the Medical Imaging Symposium in San Diego, California.

Ana Doblas of the University of Massachusetts Dartmouth presented her team’s findings on how models based on deep learning (DL) can enhance different microscopy imaging infrastructures.

A team of scientists have used airborne lidar mapping to study Mayan architecture, seeing how certain buildings’ construction can hint at the social status of their inhabitants.

Utilizing a low-altitude unmanned aerial vehicle (UAV), a hyperspectral remote-sensing system can identify key grass species indicating grassland degradation, developing an ASI index and classification rules and leveraging spectral differences and plant senescence reflectance to effectively monitor and evaluate grassland conditions and degradation.

This tutorial illustrates spectroscopic imaging principles, applications, advantages, and limitations for UV-vis, FL, NIR, IR, THz, Raman, XRF, ICP-MS, and LIBS techniques. It provides a guide for understanding spectroscopic imaging for diverse sample types and applications.

This study explores the enhanced performance of modified alternating least squares (MALS) over alternating least squares (ALS) in analyzing infrared and Raman image spectral data, highlighting the stability and computational efficiency of MALS.

An inside look at the fundamentals of Raman microscopy and how Raman can be utilized in chemical imaging and analysis, from its inception to modern applications.

Webinar Date/Time: Wed, Nov 15, 2023 2:00 PM EST

Webinar Date/Time: Europe: Thursday, September 28, 2023, at 1 pm BST | 2 pm CEST North America: Thursday, September 28, 2023, at 1 pm PDT | 4 pm EDT Asia: Friday, September 29, 2023, at 9:30 am IST | 12 pm CST | 1 pm JST | 2 pm AEDT

Webinar Date/Time: Thu, Sep 14, 2023 10:00 AM EDT

Webinar Date/Time: Wednesday, June 21st, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

A new study highlighted the potential benefits of using hyperspectral imaging technology in the tea industry.

Webinar Date/Time: Europe: Thursday, May 4, 2023, at 9 am BST | 10 am CEST North America: Thursday, May 4, 2023, at 11 am PDT | 2 pm EDT Asia: Friday, May 5, 2023, at 10:30am IST | 1 pm SST | 2 pm JST | 3 pm AEDT

Webinar Date/Time: Europe: Tuesday, May 9, 2023, at 3pm BST | 4pm CEST North America: Tuesday, May 9, 2023, at 11am PDT | 2pm EDT Asia: Wednesday, May 10, 2023, at 8:30am IST | 11am HKT | 12pm JST | 1pm AEDT

Webinar Date/Time: Tuesday, February 28 and Wednesday, March 1, 2023 Morning Session: 9 am EST | 6 am PST | 3 pm CET | 2 pm GMT Afternoon Session: 2 pm EST | 11 am PST | 8 pm CET | 7 pm GMT

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