Explore more about: Image processing

A new deep learning technique constructs better macroscopic medical images of cells and tissues at ultra-fast speeds.

Scientists say that protein engineering techniques might one day lead to colorful ultrasound images of cells deep within our bodies.

A new phase 1 clinical trial evaluated the differences between pre-operative prone and supine MRI exams in 12 women undergoing lumpectomy for breast cancer.

Study describes the use of restriction spectrum imaging as a biomarker that enhances the ability of MRI to differentiate aggressive cancer from benign tumors.

Scientists are pushing the limits of a super-resolution microscopy technique, opening new pathways to illuminating individual cell processes in living tissue.

Research findings contradict belief that CTC clusters are too large to pass through capillaries and suggest strategies to reduce clusters' metastatic potential.

A method using acoustic waves in a microfluidic device to rotate single particles, cells or organisms will allow researchers to take 3-D images with a phone.

Using electrodes implanted in the temporal lobes of awake patients, scientists have decoded brain signals at nearly the speed of perception.

Researchers revealed that radiotracer PET/CT scans that targets prostate-specific membrane antigen was best at detecting metastatic prostate cancer.

Life-science imaging broke barriers this year, as scientists built upon microscopy approaches to peer ever deeper into living tissues. In October, Purdue University’s Ji-Xin Cheng and colleagues reported they had greatly increased the speed of collecting images—from minutes to seconds—using in vivo vibrational spectroscopic imaging, a technique that obviates the need for fluorescence.