JASCO Japan Spectroscopy Co., Ltd. originated from the Institute of Optics at Tokyo University of Education. In 1954, it developed Japan's first infrared spectrometer DS-101. Since its establishment in 1958, JASCO has inherited advanced technology and innovated. In 2022, it launched a new Fourier transform infrared spectrometer FT/IR-4X.
FT/IR-4X pursues miniaturization, with dimensions of only 386 (W) x 479 (D) mm; Compared with traditional products, it reduces the footprint by 40% and power consumption by 30%; Performance, functionality, and scalability have been greatly improved; Support high-resolution, high signal-to-noise ratio, and high-sensitivity detectors; Support multi-channel microscopy and fast scanning, etc; Measuring wave number can achieve effective expansion; The sample warehouse is the same as similar large equipment and has a width of 200mm; It can be paired with multiple attachments and large attachments, including third-party ones.
1. Achieving miniaturization of research grade spectroscopy
Compared to traditional models (FT/IR-4000 series), the footprint has been reduced by about 40%.
2. Stable sealed maintenance free structure
Adopting a stable and durable sealed interferometer; Built in temperature and humidity monitoring components ensure long-lasting dryness inside the interferometer.
3 high signal-to-noise ratio supports fast scanning testing
High signal-to-noise ratio meets the needs of scientific research, supports rapid scanning testing of 80 spectra per second, and can reliably capture rapid reaction processes.
4. Excellent scalability to meet various application needs
Satisfy extensions such as MCT and InGaAs detectors; Various automatic recognition attachments can be matched according to user needs.
5 Fast and Convenient Software Operations
Power on and self diagnose the instrument status. Spectrum Manager Ver.2.5 spectral management software not only meets various testing and analysis needs, but also comes with navigation functions that allow for quick testing by setting testing conditions based on navigation prompts.